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Tutorial
Sun Dec 04 11:30 PM -- 01:30 AM (PST) @ Area 1 + 2
Variational Inference: Foundations and Modern Methods
In Tutorials Session A
David Blei · Shakir Mohamed · Rajesh Ranganath
[ Slides]  [ Video] 
Tutorial
Sun Dec 04 11:30 PM -- 01:30 AM (PST) @ Rooms 211 + 212
Deep Reinforcement Learning Through Policy Optimization
In Tutorials Session C
Pieter Abbeel · John Schulman
[ Slides]  [ Video] 
Tutorial
Sun Dec 04 11:30 PM -- 01:30 AM (PST) @ Area 3
Crowdsourcing: Beyond Label Generation
In Tutorials Session B
Jenn Wortman Vaughan
[ Notes]  [ Slides]  [ Video] 
Tutorial
Mon Dec 05 02:00 AM -- 04:00 AM (PST) @ Area 3
Natural Language Processing for Computational Social Science
In Tutorials Session B
Cristian Danescu-Niculescu-Mizil · Lillian Lee
[ Slides] 
Tutorial
Mon Dec 05 02:00 AM -- 04:00 AM (PST) @ Area 1 + 2
Nuts and Bolts of Building Applications using Deep Learning
In Tutorials Session A
Andrew Ng
[ Slides] 
Tutorial
Mon Dec 05 02:00 AM -- 04:00 AM (PST) @ Rooms 211 + 212
Theory and Algorithms for Forecasting Non-Stationary Time Series
In Tutorials Session C
Vitaly Kuznetsov · Mehryar Mohri
[ Video] 
Tutorial
Mon Dec 05 05:30 AM -- 07:30 AM (PST) @ Area 1 + 2
Generative Adversarial Networks
In Tutorials Session A
Ian Goodfellow
[ Slides]  [ Video] 
Tutorial
Mon Dec 05 05:30 AM -- 07:30 AM (PST) @ Area 3
ML Foundations and Methods for Precision Medicine and Healthcare
In Tutorials Session B
Suchi Saria · Peter Schulam
[ Slides]  [ Video] 
Tutorial
Mon Dec 05 05:30 AM -- 07:30 AM (PST) @ Rooms 211 + 212
Large-Scale Optimization: Beyond Stochastic Gradient Descent and Convexity
In Tutorials Session C
Suvrit Sra · Francis Bach
[ Video] 
Invited Talk (Posner Lecture)
Mon Dec 05 08:30 AM -- 09:20 AM (PST) @ area 1 + 2
Predictive Learning
In Invited Talks (Mon)
Yann LeCun
[ Video] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #1
Improved Dropout for Shallow and Deep Learning
In Monday Posters
Zhe Li · Boqing Gong · Tianbao Yang
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #2
Communication-Optimal Distributed Clustering
In Monday Posters
Jiecao Chen · He Sun · David Woodruff · Qin Zhang
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #3
On Robustness of Kernel Clustering
In Monday Posters
Bowei Yan · Purnamrita Sarkar
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #4
Combinatorial semi-bandit with known covariance
In Monday Posters
Rémy Degenne · Vianney Perchet
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #5
A posteriori error bounds for joint matrix decomposition problems
In Monday Posters
Nicolò Colombo · Nikos Vlassis
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #6
Object based Scene Representations using Fisher Scores of Local Subspace Projections
In Monday Posters
Mandar D Dixit · Nuno Vasconcelos
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #7
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
In Monday Posters
Gregory Rogez · Cordelia Schmid
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #8
Regret of Queueing Bandits
In Monday Posters
Subhashini Krishnasamy · Rajat Sen · Ramesh Johari · Sanjay Shakkottai
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #9
Efficient Nonparametric Smoothness Estimation
In Monday Posters
Shashank Singh · Simon Du · Barnabas Poczos
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #10
Completely random measures for modelling block-structured sparse networks
In Monday Posters
Tue Herlau · Mikkel N Schmidt · Morten Mørup
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #11
DISCO Nets : DISsimilarity COefficients Networks
In Monday Posters
Diane Bouchacourt · Pawan K Mudigonda · Sebastian Nowozin
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #12
An Architecture for Deep, Hierarchical Generative Models
In Monday Posters
Philip Bachman
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #13
A Multi-Batch L-BFGS Method for Machine Learning
In Monday Posters
Albert Berahas · Jorge Nocedal · Martin Takac
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #14
Higher-Order Factorization Machines
In Monday Posters
Mathieu Blondel · Akinori Fujino · Naonori Ueda · Masakazu Ishihata
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #15
A Bio-inspired Redundant Sensing Architecture
In Monday Posters
Anh Tuan Nguyen · Jian Xu · Zhi Yang
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #16
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
In Monday Posters
Lev Bogolubsky · Pavel Dvurechenskii · Alexander Gasnikov · Gleb Gusev · Yurii Nesterov · Andrei M Raigorodskii · Aleksey Tikhonov · Maksim Zhukovskii
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #17
Linear Relaxations for Finding Diverse Elements in Metric Spaces
In Monday Posters
Aditya Bhaskara · Mehrdad Ghadiri · Vahab Mirrokni · Ola Svensson
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #18
Stochastic Optimization for Large-scale Optimal Transport
In Monday Posters
Aude Genevay · Marco Cuturi · Gabriel Peyré · Francis Bach
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #19
Threshold Bandits, With and Without Censored Feedback
In Monday Posters
Jacob D Abernethy · Kareem Amin · Ruihao Zhu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #20
Mistake Bounds for Binary Matrix Completion
In Monday Posters
Mark Herbster · Stephen Pasteris · Massimiliano Pontil
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #21
SoundNet: Learning Sound Representations from Unlabeled Video
In Monday Posters
Yusuf Aytar · Carl Vondrick · Antonio Torralba
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #22
Doubly Convolutional Neural Networks
In Monday Posters
Shuangfei Zhai · Yu Cheng · Weining Lu · Zhongfei (Mark) Zhang
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #23
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
In Monday Posters
Christopher W Lynn · Daniel Lee
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #24
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs
In Monday Posters
Shahin Jabbari · Ryan Rogers · Aaron Roth · Steven Wu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #25
Fairness in Learning: Classic and Contextual Bandits
In Monday Posters
Matthew Joseph · Michael Kearns · Jamie Morgenstern · Aaron Roth
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #26
A Powerful Generative Model Using Random Weights for the Deep Image Representation
In Monday Posters
Kun He · Yan Wang · John Hopcroft
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #27
Improved Error Bounds for Tree Representations of Metric Spaces
In Monday Posters
Samir Chowdhury · Facundo Mémoli · Zane T Smith
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #28
Adaptive optimal training of animal behavior
In Monday Posters
Ji Hyun Bak · Jung Choi · Ilana Witten · Athena Akrami · Jonathan Pillow
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #29
PAC-Bayesian Theory Meets Bayesian Inference
In Monday Posters
Pascal Germain · Francis Bach · Alexandre Lacoste · Simon Lacoste-Julien
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #30
Nearly Isometric Embedding by Relaxation
In Monday Posters
James McQueen · Marina Meila · Dominique Perrault-Joncas
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #31
Graph Clustering: Block-models and model free results
In Monday Posters
Yali Wan · Marina Meila
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #32
Learning Transferrable Representations for Unsupervised Domain Adaptation
In Monday Posters
Ozan Sener · Hyun Oh Song · Ashutosh Saxena · Silvio Savarese
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #33
Measuring Neural Net Robustness with Constraints
In Monday Posters
Osbert Bastani · Yani Ioannou · Leonidas Lampropoulos · Dimitrios Vytiniotis · Aditya Nori · Antonio Criminisi
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #34
A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control
In Monday Posters
Ivan Herreros · Xerxes Arsiwalla · Paul Verschure
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #35
Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
In Monday Posters
Cristina Savin · Gasper Tkacik
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #36
A Bayesian method for reducing bias in neural representational similarity analysis
In Monday Posters
Mingbo Cai · Nicolas W Schuck · Jonathan Pillow · Yael Niv
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #37
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
In Monday Posters
Jakob Foerster · Yannis Assael · Nando de Freitas · Shimon Whiteson
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #38
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
In Monday Posters
Veeru Sadhanala · Yu-Xiang Wang · Ryan Tibshirani
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #39
Exponential Family Embeddings
In Monday Posters
Maja Rudolph · Francisco J. R. Ruiz · Stephan Mandt · David Blei
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #40
k*-Nearest Neighbors: From Global to Local
In Monday Posters
Oren Anava · Kfir Y. Levy
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #41
Reward Augmented Maximum Likelihood for Neural Structured Prediction
In Monday Posters
Mohammad Norouzi · Samy Bengio · ZF Chen · Navdeep Jaitly · Mike Schuster · Yonghui Wu · Dale Schuurmans
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #42
A Probabilistic Model of Social Decision Making based on Reward Maximization
In Monday Posters
Koosha Khalvati · Seongmin A. Park · Jean-Claude Dreher · Rajesh PN Rao
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #43
Active Learning with Oracle Epiphany
In Monday Posters
T.K. Huang · Lihong Li · Ara Vartanian · Saleema Amershi · Jerry Zhu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #44
On Regularizing Rademacher Observation Losses
In Monday Posters
Richard Nock
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #45
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
In Monday Posters
Elad Hazan · Tengyu Ma
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #46
Learning Tree Structured Potential Games
In Monday Posters
Vikas Garg · Tommi Jaakkola
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #47
Equality of Opportunity in Supervised Learning
In Monday Posters
Moritz Hardt · Eric Price · Eric Price · Nati Srebro
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #48
Interaction Networks for Learning about Objects, Relations and Physics
In Monday Posters
Peter Battaglia · Razvan Pascanu · Matthew Lai · Danilo Jimenez Rezende · koray kavukcuoglu
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #49
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data
In Monday Posters
Valentina Zantedeschi · Rémi Emonet · Marc Sebban
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #50
Binarized Neural Networks
In Monday Posters
Itay Hubara · Matthieu Courbariaux · Daniel Soudry · Ran El-Yaniv · Yoshua Bengio
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #51
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
In Monday Posters
Mehdi Sajjadi · Mehran Javanmardi · Tolga Tasdizen
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #52
Generating Images with Perceptual Similarity Metrics based on Deep Networks
In Monday Posters
Alexey Dosovitskiy · Thomas Brox
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #53
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
In Monday Posters
Amin Jalali · Qiyang Han · Ioana Dumitriu · Maryam Fazel
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #54
Tensor Switching Networks
In Monday Posters
Kenyon Tsai · Andrew M Saxe · David Cox
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #55
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models
In Monday Posters
Juho Lee · Lancelot F James · Seungjin Choi
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #56
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction
In Monday Posters
Hsiang-Fu (Rofu) Yu · Nikhil Rao · Inderjit Dhillon
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #57
Composing graphical models with neural networks for structured representations and fast inference
In Monday Posters
Matthew Johnson · David Duvenaud · Alex Wiltschko · Ryan Adams · Sandeep R Datta
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #58
PAC Reinforcement Learning with Rich Observations
In Monday Posters
Akshay Krishnamurthy · Alekh Agarwal · John Langford
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #59
Algorithms and matching lower bounds for approximately-convex optimization
In Monday Posters
Andrej Risteski · Yuanzhi Li
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #60
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
In Monday Posters
Sashank J. Reddi · Suvrit Sra · Barnabas Poczos · Alex Smola
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #61
A Simple Practical Accelerated Method for Finite Sums
In Monday Posters
Aaron Defazio
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #62
Unsupervised Learning for Physical Interaction through Video Prediction
In Monday Posters
Chelsea Finn · Ian Goodfellow · Sergey Levine
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #63
Threshold Learning for Optimal Decision Making
In Monday Posters
Nathan F Lepora
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #64
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
In Monday Posters
Hao Wang · Xingjian SHI · Dit-Yan Yeung
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #65
Finding significant combinations of features in the presence of categorical covariates
In Monday Posters
Laetitia Papaxanthos · Felipe Llinares-López · Dean Bodenham · Karsten Borgwardt
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #66
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
In Monday Posters
Anh Nguyen · Alexey Dosovitskiy · Jason Yosinski · Thomas Brox · Jeff Clune
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #67
Learning Infinite RBMs with Frank-Wolfe
In Monday Posters
Wei Ping · Qiang Liu · Alexander Ihler
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #68
Sorting out typicality with the inverse moment matrix SOS polynomial
In Monday Posters
Edouard Pauwels · Jean Lasserre
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #69
Improving PAC Exploration Using the Median Of Means
In Monday Posters
Jason Pazis · Ron Parr · Jonathan How
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #70
Reconstructing Parameters of Spreading Models from Partial Observations
In Monday Posters
Andrey Lokhov
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #71
Dynamic Filter Networks
In Monday Posters
Xu Jia · Bert De Brabandere · Tinne Tuytelaars · Luc V Gool
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #72
Generating Long-term Trajectories Using Deep Hierarchical Networks
In Monday Posters
Stephan Zheng · Yisong Yue · Patrick Lucey
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #73
Cooperative Inverse Reinforcement Learning
In Monday Posters
Dylan Hadfield-Menell · Stuart J Russell · Pieter Abbeel · Anca Dragan
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #74
Review Networks for Caption Generation
In Monday Posters
Zhilin Yang · Ye Yuan · Yuexin Wu · William Cohen · Russ Salakhutdinov
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #75
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
In Monday Posters
Rong Zhu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #76
Robust k-means: a Theoretical Revisit
In Monday Posters
ALEX GEORGOGIANNIS
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #77
Boosting with Abstention
In Monday Posters
Corinna Cortes · Giulia DeSalvo · Mehryar Mohri
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #78
Estimating the class prior and posterior from noisy positives and unlabeled data
In Monday Posters
Shantanu Jain · Martha White · Pedja Radivojac
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #79
Bootstrap Model Aggregation for Distributed Statistical Learning
In Monday Posters
JUN HAN · Qiang Liu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #80
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
In Monday Posters
Maria-Florina Balcan · Hongyang Zhang
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #81
FPNN: Field Probing Neural Networks for 3D Data
In Monday Posters
Yangyan Li · pirk Pirk · Hao Su · Charles R Qi · Leonidas Guibas
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #82
Causal meets Submodular: Subset Selection with Directed Information
In Monday Posters
Yuxun Zhou · Costas J Spanos
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #83
Improving Variational Autoencoders with Inverse Autoregressive Flow
In Monday Posters
Diederik Kingma · Tim Salimans · Rafal Jozefowicz · Peter Chen · Xi Chen · Ilya Sutskever · Max Welling
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #84
Adaptive Smoothed Online Multi-Task Learning
In Monday Posters
Keerthiram Murugesan · Hanxiao Liu · Jaime Carbonell · Yiming Yang
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #85
The Limits of Learning with Missing Data
In Monday Posters
Brian Bullins · Elad Hazan · Tomer Koren
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #86
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
In Monday Posters
Matteo Turchetta · Felix Berkenkamp · Andreas Krause
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #87
Sparse Support Recovery with Non-smooth Loss Functions
In Monday Posters
Kévin Degraux · Gabriel Peyré · Jalal Fadili · Laurent Jacques
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #88
Crowdsourced Clustering: Querying Edges vs Triangles
In Monday Posters
Ramya Korlakai Vinayak · Babak Hassibi
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #89
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain
In Monday Posters
Ian Yen · Xiangru Huang · Kai Zhong · Ruohan Zhang · Pradeep Ravikumar · Inderjit Dhillon
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #90
Sampling for Bayesian Program Learning
In Monday Posters
Kevin Ellis · Armando Solar-Lezama · Josh Tenenbaum
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #91
Multiple-Play Bandits in the Position-Based Model
In Monday Posters
Paul Lagrée · Claire Vernade · Olivier Cappe
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #92
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
In Monday Posters
Xiaojiao Mao · Chunhua Shen · Yu-Bin Yang
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #93
Optimistic Bandit Convex Optimization
In Monday Posters
Scott Yang · Mehryar Mohri
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #94
Computing and maximizing influence in linear threshold and triggering models
In Monday Posters
Justin Khim · Varun Jog · Po-Ling Loh
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #95
Clustering with Bregman Divergences: an Asymptotic Analysis
In Monday Posters
Chaoyue Liu · Mikhail Belkin
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #96
Community Detection on Evolving Graphs
In Monday Posters
LEONARDI Leonardi · Aris Anagnostopoulos · Jakub Łącki · Silvio Lattanzi · Mohammad Mahdian
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #97
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions
In Monday Posters
Siddartha Ramamohan · Arun Rajkumar · Shivani Agarwal · Shivani Agarwal
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #98
Learning a Metric Embedding for Face Recognition using the Multibatch Method
In Monday Posters
Oren Tadmor · Tal Rosenwein · Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #99
Convergence guarantees for kernel-based quadrature rules in misspecified settings
In Monday Posters
Motonobu Kanagawa · Bharath Sriperumbudur · Kenji Fukumizu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #100
Stochastic Variational Deep Kernel Learning
In Monday Posters
Andrew Wilson · Zhiting Hu · Russ Salakhutdinov · Eric Xing
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #101
Deep Submodular Functions: Definitions and Learning
In Monday Posters
Brian W Dolhansky · Jeff Bilmes
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #102
Scaled Least Squares Estimator for GLMs in Large-Scale Problems
In Monday Posters
Murat Erdogdu · Lee H Dicker · Mohsen Bayati
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #103
High-Rank Matrix Completion and Clustering under Self-Expressive Models
In Monday Posters
Ehsan Elhamifar
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #104
Stochastic Three-Composite Convex Minimization
In Monday Posters
Alp Yurtsever · Bang Cong Vu · Volkan Cevher
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #105
Tree-Structured Reinforcement Learning for Sequential Object Localization
In Monday Posters
Zequn Jie · Xiaodan Liang · Jiashi Feng · Xiaojie Jin · Wen Lu · Shuicheng Yan
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #106
The non-convex Burer-Monteiro approach works on smooth semidefinite programs
In Monday Posters
Nicolas Boumal · Vlad Voroninski · Afonso Bandeira
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #107
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
In Monday Posters
Travis Monk · Cristina Savin · Jörg Lücke
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #108
Greedy Feature Construction
In Monday Posters
Dino Oglic · Thomas Gärtner
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #109
Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis
In Monday Posters
Yoshinobu Kawahara
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #110
Learning the Number of Neurons in Deep Networks
In Monday Posters
Jose M. Alvarez · Mathieu Salzmann
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #111
Strategic Attentive Writer for Learning Macro-Actions
In Monday Posters
Alexander Vezhnevets · Volodymyr Mnih · Simon Osindero · Alex Graves · Oriol Vinyals · John Agapiou · koray kavukcuoglu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #112
Active Learning from Imperfect Labelers
In Monday Posters
Songbai Yan · Kamalika Chaudhuri · Tara Javidi
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #113
Probabilistic Linear Multistep Methods
In Monday Posters
Onur Teymur · Kostas Zygalakis · Ben Calderhead
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #114
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
In Monday Posters
Xinyang Yi · Zhaoran Wang · Zhuoran Yang · Constantine Caramanis · Han Liu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #115
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
In Monday Posters
jean barbier · Mohamad Dia · Nicolas Macris · Florent Krzakala · Thibault Lesieur · Lenka Zdeborová
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #116
Coin Betting and Parameter-Free Online Learning
In Monday Posters
Francesco Orabona · David Pal
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #117
Normalized Spectral Map Synchronization
In Monday Posters
Yanyao Shen · Qixing Huang · Nati Srebro · Sujay Sanghavi
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #118
On Explore-Then-Commit strategies
In Monday Posters
Aurélien Garivier · Tor Lattimore · Emilie Kaufmann
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #119
Learning Kernels with Random Features
In Monday Posters
Aman Sinha · John Duchi
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #120
Robustness of classifiers: from adversarial to random noise
In Monday Posters
Alhussein Fawzi · Seyed-Mohsen Moosavi-Dezfooli · Pascal Frossard
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #121
Adaptive Skills Adaptive Partitions (ASAP)
In Monday Posters
Daniel J Mankowitz · Timothy A Mann · Shie Mannor
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #122
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
In Monday Posters
Kirthevasan Kandasamy · Gautam Dasarathy · Junier B Oliva · Jeff Schneider · Barnabas Poczos
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #123
Flexible Models for Microclustering with Application to Entity Resolution
In Monday Posters
Brenda Betancourt · Giacomo Zanella · Jeff Miller · Hanna Wallach · Abbas Zaidi · Rebecca Steorts
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #124
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo
In Monday Posters
Alain Durmus · Umut Simsekli · Eric Moulines · Roland Badeau · Gaël RICHARD
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #125
Online and Differentially-Private Tensor Decomposition
In Monday Posters
Yining Wang · Anima Anandkumar
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #126
Maximal Sparsity with Deep Networks?
In Monday Posters
Bo Xin · Yizhou Wang · Wen Gao · David Wipf · Baoyuan Wang
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #127
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information
In Monday Posters
Alexander Shishkin · Anastasia Bezzubtseva · Alexey Drutsa · Ilia Shishkov · kglad Gladkikh · Gleb Gusev · Pavel Serdyukov
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #128
Geometric Dirichlet Means Algorithm for topic inference
In Monday Posters
Mikhail Yurochkin · Long Nguyen
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #129
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
In Monday Posters
Marc Vuffray · Sidhant Misra · Andrey Lokhov · Michael Chertkov
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #130
Multi-armed Bandits: Competing with Optimal Sequences
In Monday Posters
Zohar Karnin · Oren Anava
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #131
Catching heuristics are optimal control policies
In Monday Posters
Boris Belousov · Gerhard Neumann · Constantin A Rothkopf · Jan Peters
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #132
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
In Monday Posters
Hongyi Zhang · Sashank J. Reddi · Suvrit Sra
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #133
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
In Monday Posters
Xiangru Lian · Huan Zhang · Cho-Jui Hsieh · Yijun Huang · Prof. Ji Liu Liu
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #134
Stochastic Gradient MCMC with Stale Gradients
In Monday Posters
Changyou Chen · Nan Ding · Chunyuan Li · Yizhe Zhang · Lawrence Carin
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #135
Disentangling factors of variation in deep representation using adversarial training
In Monday Posters
Michael Mathieu · Junbo Zhao · Junbo (Jake) Zhao · Aditya Ramesh · Pablo Sprechmann · Yann LeCun
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #136
Consistent Kernel Mean Estimation for Functions of Random Variables
In Monday Posters
Carl-Johann Simon-Gabriel · Adam Scibior · Ilya Tolstikhin · Bernhard Schölkopf
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #137
DECOrrelated feature space partitioning for distributed sparse regression
In Monday Posters
Xiangyu Wang · David B Dunson · Chenlei Leng
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #138
Coupled Generative Adversarial Networks
In Monday Posters
Ming-Yu Liu · Oncel Tuzel
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #139
Matching Networks for One Shot Learning
In Monday Posters
Oriol Vinyals · Charles Blundell · Timothy Lillicrap · koray kavukcuoglu · Daan Wierstra
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #140
Distributed Flexible Nonlinear Tensor Factorization
In Monday Posters
Shandian Zhe · Kai Zhang · Pengyuan Wang · Kuang-chih Lee · Zenglin Xu · Alan Qi · Zoubin Ghahramani
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #141
Tracking the Best Expert in Non-stationary Stochastic Environments
In Monday Posters
Chen-Yu Wei · Yi-Te Hong · Chi-Jen Lu
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #142
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
In Monday Posters
Jinzhuo Wang · Wenmin Wang · xiongtao Chen · Ronggang Wang · Wen Gao
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #143
Learning Parametric Sparse Models for Image Super-Resolution
In Monday Posters
Yongbo Li · Weisheng Dong · Xuemei Xie · GUANGMING Shi · Xin Li · Donglai Xu
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #144
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
In Monday Posters
Hassan A Kingravi · Harshal R Maske · Girish Chowdhary
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #145
Learning brain regions via large-scale online structured sparse dictionary learning
In Monday Posters
Elvis DOHMATOB · Arthur Mensch · Gael Varoquaux · Bertrand Thirion
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #146
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
In Monday Posters
Yin Cheng Ng · Pawel M Chilinski · Ricardo Silva
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #147
A Bandit Framework for Strategic Regression
In Monday Posters
Yang Liu · Yiling Chen
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #148
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
In Monday Posters
Michaël Defferrard · Xavier Bresson · Pierre Vandergheynst
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #149
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
In Monday Posters
Qiang Liu · Dilin Wang
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #150
Deep Learning Models of the Retinal Response to Natural Scenes
In Monday Posters
Lane McIntosh · Niru Maheswaranathan · Aran Nayebi · Surya Ganguli · Stephen Baccus
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #151
Safe and Efficient Off-Policy Reinforcement Learning
In Monday Posters
Remi Munos · Tom Stepleton · Anna Harutyunyan · Marc Bellemare
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #152
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale
In Monday Posters
Firas Abuzaid · Joseph K Bradley · Feynman Liang · Andrew Feng · Lee Yang · Matei Zaharia · Ameet S Talwalkar
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #153
Sample Complexity of Automated Mechanism Design
In Monday Posters
Maria-Florina Balcan · Tuomas Sandholm · Ellen Vitercik
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #154
Deep Exploration via Bootstrapped DQN
In Monday Posters
Ian Osband · Charles Blundell · Alexander Pritzel · Benjamin Van Roy
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #155
Search Improves Label for Active Learning
In Monday Posters
Alina Beygelzimer · Daniel Hsu · John Langford · Chicheng Zhang
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #156
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats
In Monday Posters
Bipin Rajendran · Pulkit Tandon · Yash H Malviya
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #157
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
In Monday Posters
Gang Niu · Marthinus Christoffel du Plessis · Tomoya Sakai · Yao Ma · Masashi Sugiyama
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #158
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
In Monday Posters
Ping Li · Michael Mitzenmacher · Martin Slawski
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #159
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain
In Monday Posters
Yunhe Wang · Chang Xu · Shan You · Dacheng Tao · Chao Xu
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #160
Verification Based Solution for Structured MAB Problems
In Monday Posters
Zohar Karnin
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #161
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
In Monday Posters
Daniel Ritchie · Anna Thomas · Pat Hanrahan · Noah Goodman
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #162
Edge-exchangeable graphs and sparsity
In Monday Posters
Diana Cai · Trevor Campbell · Tamara Broderick
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #163
Learning and Forecasting Opinion Dynamics in Social Networks
In Monday Posters
Abir De · Isabel Valera · Niloy Ganguly · Sourangshu Bhattacharya · Manuel Gomez Rodriguez
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #164
Probing the Compositionality of Intuitive Functions
In Monday Posters
Eric Schulz · Josh Tenenbaum · David Duvenaud · Maarten Speekenbrink · Samuel J Gershman
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #165
Learning shape correspondence with anisotropic convolutional neural networks
In Monday Posters
Davide Boscaini · Jonathan Masci · Emanuele Rodolà · Michael Bronstein
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #166
Improved Techniques for Training GANs
In Monday Posters
Tim Salimans · Ian Goodfellow · Wojciech Zaremba · Vicki Cheung · Alec Radford · Peter Chen · Xi Chen
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #167
Automated scalable segmentation of neurons from multispectral images
In Monday Posters
Uygar Sümbül · Douglas Roossien · Dawen Cai · Fei Chen · Nick Barry · John Cunningham · Edward Boyden · Liam Paninski
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #168
Optimal Cluster Recovery in the Labeled Stochastic Block Model
In Monday Posters
Se-Young Yun · Alexandre Proutiere
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #169
Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games
In Monday Posters
Sougata Chaudhuri · Ambuj Tewari
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #170
Dual Space Gradient Descent for Online Learning
In Monday Posters
Trung Le · Tu Nguyen · Vu Nguyen · Dinh Phung
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #171
Data Programming: Creating Large Training Sets, Quickly
In Monday Posters
Alexander Ratner · Christopher M De Sa · Sen Wu · Daniel Selsam · Christopher Ré
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #172
Near-Optimal Smoothing of Structured Conditional Probability Matrices
In Monday Posters
Moein Falahatgar · Mesrob Ohannessian · Alon Orlitsky
[ PDF] 
Poster
Mon Dec 05 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #173
An urn model for majority voting in classification ensembles
In Monday Posters
Victor Soto · Alberto Suárez · Gonzalo Martinez-Muñoz
Break
Mon Dec 05 10:30 AM -- 11:00 AM (PST)
Coffee Break
Break
Mon Dec 05 04:30 PM -- 05:00 PM (PST)
Coffee Break
Break
Mon Dec 05 05:00 PM -- 05:30 PM (PST) @ Area 1 + 2
Opening Remarks
Invited Talk
Tue Dec 06 12:00 AM -- 12:50 AM (PST) @ Area 1+2
Intelligent Biosphere
In Invited Talks (Tue)
Drew Purves
[ Video] 
Oral
Tue Dec 06 12:50 AM -- 01:10 AM (PST) @ Area 1 + 2
Value Iteration Networks
In Award Talk: Value Iteration Networks
Aviv Tamar · Sergey Levine · Pieter Abbeel · YI WU · Garrett Thomas
[ Video] 
Oral
Tue Dec 06 01:40 AM -- 02:00 AM (PST) @ Area 3
Graphons, mergeons, and so on!
In Clustering
Justin Eldridge · Mikhail Belkin · Yusu Wang
[ Video] 
Oral
Tue Dec 06 01:40 AM -- 02:00 AM (PST) @ Area 1 + 2
Tractable Operations for Arithmetic Circuits of Probabilistic Models
In Graphical Models
Yujia Shen · Arthur Choi · Adnan Darwiche
Oral
Tue Dec 06 02:00 AM -- 02:20 AM (PST) @ Area 3
Hierarchical Clustering via Spreading Metrics
In Clustering
Aurko Roy · Sebastian Pokutta
[ Video] 
Oral
Tue Dec 06 02:00 AM -- 02:20 AM (PST) @ Area 1 + 2
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
In Graphical Models
Eugene Belilovsky · Gaël Varoquaux · Matthew Blaschko
[ Video] 
Oral
Tue Dec 06 02:20 AM -- 02:40 AM (PST) @ Area 3
Clustering with Same-Cluster Queries
In Clustering
Hassan Ashtiani · Shrinu Kushagra · Shai Ben-David
[ Video] 
Oral
Tue Dec 06 02:20 AM -- 02:40 AM (PST) @ Area 1 + 2
SDP Relaxation with Randomized Rounding for Energy Disaggregation
In Graphical Models
Kiarash Shaloudegi · András György · Csaba Szepesvari · Wilsun Xu
[ Video] 
Oral
Tue Dec 06 02:40 AM -- 03:00 AM (PST) @ Area 3
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
In Clustering
Aapo Hyvarinen · Hiroshi Morioka
[ Video] 
Oral
Tue Dec 06 02:40 AM -- 03:00 AM (PST) @ Area 1 + 2
Bayesian Intermittent Demand Forecasting for Large Inventories
In Graphical Models
Matthias W Seeger · David Salinas · Valentin Flunkert
[ Video] 
Oral
Tue Dec 06 03:00 AM -- 03:20 AM (PST) @ Area 3
Fast and Provably Good Seedings for k-Means
In Clustering
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause
[ Video] 
Oral
Tue Dec 06 03:00 AM -- 03:20 AM (PST) @ Area 1 + 2
Synthesis of MCMC and Belief Propagation
In Graphical Models
Sungsoo Ahn · Michael Chertkov · Jinwoo Shin
[ Video] 
Invited Talk
Tue Dec 06 06:00 AM -- 06:50 AM (PST) @ Area 1 + 2
Engineering Principles From Stable and Developing Brains
In Invited Talks (Tue)
Saket Navlakha
Oral
Tue Dec 06 07:20 AM -- 07:40 AM (PST) @ Area 1 + 2
Deep Learning for Predicting Human Strategic Behavior
In Deep Learning
Jason Hartford · James R Wright · Kevin Leyton-Brown
[ Video] 
Oral
Tue Dec 06 07:20 AM -- 07:40 AM (PST) @ Area 3
Supervised learning through the lens of compression
In Theory
Ofir David · Shay Moran · Amir Yehudayoff
[ Video] 
Oral
Tue Dec 06 07:40 AM -- 08:00 AM (PST) @ Area 1 + 2
Using Fast Weights to Attend to the Recent Past
In Deep Learning
Jimmy Ba · Geoffrey E Hinton · Volodymyr Mnih · Joel Leibo · Catalin Ionescu
[ Video] 
Oral
Tue Dec 06 07:40 AM -- 08:00 AM (PST) @ Area 3
MetaGrad: Multiple Learning Rates in Online Learning
In Theory
Tim van Erven · Wouter Koolen
[ Video] 
Oral
Tue Dec 06 08:00 AM -- 08:20 AM (PST) @ Area 1 + 2
Sequential Neural Models with Stochastic Layers
In Deep Learning
Marco Fraccaro · Søren Kaae Sønderby · Ulrich Paquet · Ole Winther
[ Video] 
Oral
Tue Dec 06 08:00 AM -- 08:20 AM (PST) @ Area 3
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
In Theory
Jean-Bastien Grill · Michal Valko · Remi Munos
[ Video] 
Oral
Tue Dec 06 08:20 AM -- 08:40 AM (PST) @ Area 1 + 2
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
In Deep Learning
Daniel Neil · Michael Pfeiffer · Shih-Chii Liu
[ Video] 
Oral
Tue Dec 06 08:20 AM -- 08:40 AM (PST) @ Area 3
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
In Theory
Ji Xu · Daniel Hsu · Arian Maleki
[ Video] 
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Content-based Related Video Recommendations
In Demos (Tue)
Joonseok Lee
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Brain-machine interface spelling device based on reinforcement learning
In Demos (Tue)
Inaki Iturrate · Ricardo Chavarriaga
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Logically Complex Symbol Grounding for Interactive Robots by Seq2seq Learning with an LSTM-RNN
In Demos (Tue)
yamadat Yamada · Shingo Murata · Hiroaki Arie · Tetsuya Ogata
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Movidius Fathom: Deep Learning in a USB stick
In Demos (Tue)
Cormac Brick · Sofiane Yous · Marko Vitez · Ian F Hunter · Jack Dashwood
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library
In Demos (Tue)
Sébastien Forestier · Yoan Mollard · Pierre-Yves Oudeyer
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Deep Reinforcement Learning for Robotics in DIANNE
In Demos (Tue)
Steven Bohez · Elias De Coninck · Sam Leroux · Tim Verbelen
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Real-time interactive sequence generation with Recurrent Neural Network ensembles
In Demos (Tue)
Memo Akten
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
In Demos (Tue)
Sebastian Ramos · Peter Pinggera · stefan gehrig · Daimler AG · Carsten Rother
Demonstration
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Project Malmo - Minecraft for AI Research
In Demos (Tue)
Katja Hofmann · Matthew A Johnson · Fernando Diaz · Alekh Agarwal · Tim Hutton · David Bignell · Evelyne Viegas
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #1
The Multi-fidelity Multi-armed Bandit
In Tuesday Posters
Kirthevasan Kandasamy · Gautam Dasarathy · Barnabas Poczos · Jeff Schneider
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #2
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
In Tuesday Posters
Kevin Winner · Dan Sheldon
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #3
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
In Tuesday Posters
Nguyen Viet Cuong · Huan Xu
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #4
Dual Learning for Machine Translation
In Tuesday Posters
Di He · Yingce Xia · Tao Qin · Liwei Wang · Nenghai Yu · Tie-Yan Liu · Wei-Ying Ma
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #5
Iterative Refinement of the Approximate Posterior for Directed Belief Networks
In Tuesday Posters
devon Hjelm · Russ Salakhutdinov · Kyunghyun Cho · Nebojsa Jojic · Vince Calhoun · Junyoung Chung
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #6
Unsupervised Risk Estimation Using Only Conditional Independence Structure
In Tuesday Posters
Jacob Steinhardt · Percy Liang
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #7
Hierarchical Question-Image Co-Attention for Visual Question Answering
In Tuesday Posters
Jiasen Lu · Jianwei Yang · Dhruv Batra · Devi Parikh
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #8
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
In Tuesday Posters
Remi Lam · Karen Willcox · David Wolpert
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #9
Learning to learn by gradient descent by gradient descent
In Tuesday Posters
Marcin Andrychowicz · Misha Denil · Sergio Gómez · Matthew Hoffman · David Pfau · Tom Schaul · Nando de Freitas
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #10
Computational and Statistical Tradeoffs in Learning to Rank
In Tuesday Posters
Ashish Khetan · Sewoong Oh
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #11
Pairwise Choice Markov Chains
In Tuesday Posters
Stephen Ragain · Johan Ugander
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #12
Incremental Variational Sparse Gaussian Process Regression
In Tuesday Posters
Ching-An Cheng · Byron Boots
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #13
Combinatorial Multi-Armed Bandit with General Reward Functions
In Tuesday Posters
Wei Chen · Wei Hu · Fu Li · Jian Li · Yu Liu · Pinyan Lu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #14
Observational-Interventional Priors for Dose-Response Learning
In Tuesday Posters
Ricardo Silva
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #15
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
In Tuesday Posters
Guillaume Papa · Aurélien Bellet · Stephan Clémençon
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #16
DeepMath - Deep Sequence Models for Premise Selection
In Tuesday Posters
Geoffrey Irving · Christian Szegedy · Alex Alemi · Niklas Een · Francois Chollet · Josef Urban
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #17
Efficient Second Order Online Learning by Sketching
In Tuesday Posters
Haipeng Luo · Alekh Agarwal · Nicolò Cesa-Bianchi · John Langford
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #18
Gaussian Processes for Survival Analysis
In Tuesday Posters
Tamara Fernandez · Nicolás Rivera · Yee Whye Teh
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #19
The Power of Optimization from Samples
In Tuesday Posters
Eric Balkanski · Aviad Rubinstein · Yaron Singer
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #20
Global Optimality of Local Search for Low Rank Matrix Recovery
In Tuesday Posters
Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #21
A state-space model of cross-region dynamic connectivity in MEG/EEG
In Tuesday Posters
Ying Yang · Elissa Aminoff · Michael Tarr · Rob E Robert
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #22
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease
In Tuesday Posters
Hao Zhou · Vamsi Ithapu · Sathya Narayanan Ravi · Vikas Singh · Grace Wahba · Sterling C Johnson
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #23
Bi-Objective Online Matching and Submodular Allocations
In Tuesday Posters
Hossein Esfandiari · Nitish Korula · Vahab Mirrokni
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #24
A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++
In Tuesday Posters
Dennis Wei
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #25
Causal Bandits: Learning Good Interventions via Causal Inference
In Tuesday Posters
Finnian Lattimore · Tor Lattimore · Mark Reid
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #26
Unsupervised Domain Adaptation with Residual Transfer Networks
In Tuesday Posters
Mingsheng Long · Han Zhu · Jianmin Wang · Michael Jordan
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #27
Data driven estimation of Laplace-Beltrami operator
In Tuesday Posters
Frederic Chazal · Ilaria Giulini · Bertrand Michel
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #28
Fast Algorithms for Robust PCA via Gradient Descent
In Tuesday Posters
Xinyang Yi · Dohyung Park · Yudong Chen · Constantine Caramanis
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #29
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
In Tuesday Posters
Davood Hajinezhad · Mingyi Hong · Tuo Zhao · Zhaoran Wang
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #30
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing
In Tuesday Posters
Farshad Lahouti · Babak Hassibi
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #31
Supervised Learning with Tensor Networks
In Tuesday Posters
Miles M Stoudenmire · David Schwab
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #32
Understanding Probabilistic Sparse Gaussian Process Approximations
In Tuesday Posters
Matthias Bauer · Mark van der Wilk · Carl Edward Rasmussen
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #33
A Locally Adaptive Normal Distribution
In Tuesday Posters
Georgios Arvanitidis · Lars K Hansen · Søren Hauberg
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #34
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
In Tuesday Posters
Kejun Huang · Xiao Fu · Nikos D. Sidiropoulos
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #35
Optimal Learning for Multi-pass Stochastic Gradient Methods
In Tuesday Posters
Junhong Lin · Lorenzo Rosasco
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #36
Contextual semibandits via supervised learning oracles
In Tuesday Posters
Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #37
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
In Tuesday Posters
Michalis Titsias
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #38
Satisfying Real-world Goals with Dataset Constraints
In Tuesday Posters
Gabe Goh · Andy Cotter · Maya Gupta · Michael P Friedlander
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #39
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
In Tuesday Posters
Dogyoon Song · Christina Lee · Yihua Li · Devavrat Shah
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #40
Generative Adversarial Imitation Learning
In Tuesday Posters
Jonathan Ho · Stefano Ermon
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #41
Fast Active Set Methods for Online Spike Inference from Calcium Imaging
In Tuesday Posters
Johannes Friedrich · Liam Paninski
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #42
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
In Tuesday Posters
Behnam Neyshabur · Yuhuai Wu · Russ Salakhutdinov · Nati Srebro
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #43
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
In Tuesday Posters
Vasilis Syrgkanis · Haipeng Luo · Akshay Krishnamurthy · Robert Schapire
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #44
Diffusion-Convolutional Neural Networks
In Tuesday Posters
James Atwood · Don Towsley
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #45
Faster Projection-free Convex Optimization over the Spectrahedron
In Tuesday Posters
Dan Garber · Dan Garber
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #46
Structured Matrix Recovery via the Generalized Dantzig Selector
In Tuesday Posters
Sheng Chen · Arindam Banerjee
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #47
Convex Two-Layer Modeling with Latent Structure
In Tuesday Posters
Vignesh Ganapathiraman · Xinhua Zhang · Yaoliang Yu · Junfeng Wen
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #48
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
In Tuesday Posters
Shashank Singh · Barnabas Poczos
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #49
Deep Learning Games
In Tuesday Posters
Dale Schuurmans · Martin A Zinkevich
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #50
“Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation
In Tuesday Posters
Wen-Hao Zhang · He Wang · K. Y. Michael Wong · Si Wu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #51
Statistical Inference for Cluster Trees
In Tuesday Posters
Jisu KIM · Yen-Chi Chen · Sivaraman Balakrishnan · Alessandro Rinaldo · Larry Wasserman
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #52
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
In Tuesday Posters
Maximilian Balandat · Walid Krichene · Claire Tomlin · Alexandre Bayen
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #53
An Online Sequence-to-Sequence Model Using Partial Conditioning
In Tuesday Posters
Navdeep Jaitly · Quoc V Le · Oriol Vinyals · Ilya Sutskever · David Sussillo · Samy Bengio
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #54
Feature selection in functional data classification with recursive maxima hunting
In Tuesday Posters
José L. Torrecilla · Alberto Suárez
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #55
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$
In Tuesday Posters
Yi Xu · Yan Yan · Qihang Lin · Tianbao Yang
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #56
Nested Mini-Batch K-Means
In Tuesday Posters
James Newling · François Fleuret
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #57
Density Estimation via Discrepancy Based Adaptive Sequential Partition
In Tuesday Posters
Dangna Li · Kun Yang · Wing Hung Wong
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #58
Budgeted stream-based active learning via adaptive submodular maximization
In Tuesday Posters
Kaito Fujii · Hisashi Kashima
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #59
Lifelong Learning with Weighted Majority Votes
In Tuesday Posters
Anastasia Pentina · Ruth Urner
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #60
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
In Tuesday Posters
Sven2 Eberhardt · Jonah G Cader · Thomas Serre
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #61
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition
In Tuesday Posters
Shizhong Han · Zibo Meng · AHMED-SHEHAB KHAN · Yan Tong
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #62
Multivariate tests of association based on univariate tests
In Tuesday Posters
Ruth Heller · Yair Heller
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #63
SURGE: Surface Regularized Geometry Estimation from a Single Image
In Tuesday Posters
Peng Wang · Xiaohui Shen · Bryan Russell · Scott Cohen · Brian Price · Alan L Yuille
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #64
Memory-Efficient Backpropagation Through Time
In Tuesday Posters
Audrunas Gruslys · Remi Munos · Ivo Danihelka · Marc Lanctot · Alex Graves
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #65
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much
In Tuesday Posters
Bryan He · Christopher M De Sa · Ioannis Mitliagkas · Christopher Ré
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #66
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
In Tuesday Posters
Xiang Li · Tao Qin · Jian Yang · Xiaolin Hu · Tie-Yan Liu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #67
Direct Feedback Alignment Provides Learning in Deep Neural Networks
In Tuesday Posters
Arild Nøkland
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #68
Variational Bayes on Monte Carlo Steroids
In Tuesday Posters
Aditya Grover · Stefano Ermon
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #69
Agnostic Estimation for Misspecified Phase Retrieval Models
In Tuesday Posters
Matey Neykov · Zhaoran Wang · Han Liu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #70
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities
In Tuesday Posters
Ruitong Huang · Tor Lattimore · András György · Csaba Szepesvari
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #71
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
In Tuesday Posters
Jianxu Chen · Lin Yang · Yizhe Zhang · Mark Alber · Danny Z Chen
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #72
The Product Cut
In Tuesday Posters
Thomas Laurent · James von Brecht · Xavier Bresson · arthur szlam
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #73
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
In Tuesday Posters
Hong Namkoong · John Duchi
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #74
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
In Tuesday Posters
Tolga Bolukbasi · Kai-Wei Chang · James Y Zou · Venkatesh Saligrama · Adam T Kalai
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #75
Optimal spectral transportation with application to music transcription
In Tuesday Posters
Rémi Flamary · Cédric Févotte · Nicolas Courty · Valentin Emiya
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #76
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
In Tuesday Posters
Wouter Koolen · Peter Grünwald · Tim van Erven
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #77
Towards Conceptual Compression
In Tuesday Posters
Karol Gregor · Frederic Besse · Danilo Jimenez Rezende · Ivo Danihelka · Daan Wierstra
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #78
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
In Tuesday Posters
Arturo Deza · Miguel Eckstein
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #79
GAP Safe Screening Rules for Sparse-Group Lasso
In Tuesday Posters
Eugene Ndiaye · Olivier Fercoq · Alexandre Gramfort · Joseph Salmon
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #80
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
In Tuesday Posters
Mauro Scanagatta · Giorgio Corani · Cassio de Campos · Marco Zaffalon
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #81
Ancestral Causal Inference
In Tuesday Posters
Sara Magliacane · Tom Claassen · Joris M Mooij
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #82
Visual Question Answering with Question Representation Update (QRU)
In Tuesday Posters
Ruiyu Li · Jiaya Jia
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #83
Identification and Overidentification of Linear Structural Equation Models
In Tuesday Posters
Bryant Chen
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #84
On Valid Optimal Assignment Kernels and Applications to Graph Classification
In Tuesday Posters
Nils Kriege · Pierre-Louis Giscard · Richard Wilson
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #85
Constraints Based Convex Belief Propagation
In Tuesday Posters
Yaniv Tenzer · Alex Schwing · Kevin Gimpel · Tamir Hazan
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #86
Combinatorial Energy Learning for Image Segmentation
In Tuesday Posters
Jeremy Maitin-Shepard · Viren Jain · Michal Januszewski · Peter Li · Pieter Abbeel
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #87
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
In Tuesday Posters
Steve Li · Benjamin Marlin
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #88
Stochastic Variance Reduction Methods for Saddle-Point Problems
In Tuesday Posters
Balamurugan Palaniappan · Francis Bach
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #89
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
In Tuesday Posters
Dan Feldman · Mikhail Volkov · Daniela Rus
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #90
Efficient state-space modularization for planning: theory, behavioral and neural signatures
In Tuesday Posters
Daniel McNamee · Daniel M Wolpert · Mate Lengyel
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #91
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
In Tuesday Posters
Aryan Mokhtari · Hadi Daneshmand Daneshmand · Aurelien Lucchi · Thomas Hofmann · Alejandro Ribeiro
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #92
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
In Tuesday Posters
Edward Choi · Taha Bahadori · Jimeng Sun · Joshua Kulas · Andy Schuetz · Walter Stewart
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #93
Joint quantile regression in vector-valued RKHSs
In Tuesday Posters
Maxime Sangnier · Olivier Fercoq · Florence d'Alché-Buc
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #94
Learnable Visual Markers
In Tuesday Posters
Oleg Grinchuk · Vadim Lebedev · Victor Lempitsky
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #95
Exponential expressivity in deep neural networks through transient chaos
In Tuesday Posters
Ben Poole · Subhaneil Lahiri · Maithra Raghu · Jascha Sohl-Dickstein · Surya Ganguli
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #96
On Multiplicative Integration with Recurrent Neural Networks
In Tuesday Posters
Yuhuai Wu · Saizheng Zhang · Ying Zhang · Yoshua Bengio · Russ Salakhutdinov
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #97
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
In Tuesday Posters
Yuan Zhao · Memming Park
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #98
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
In Tuesday Posters
Antoine Gautier · Quynh Nguyen · Matthias Hein
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #99
Linear Feature Encoding for Reinforcement Learning
In Tuesday Posters
Zhao Song · Ron Parr · Xuejun Liao · Lawrence Carin
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #100
Graphical Time Warping for Joint Alignment of Multiple Curves
In Tuesday Posters
Yizhi Wang · David J Miller · Kira Poskanzer · Yue Wang · Lin Tian · Guoqiang Yu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #101
Mixed Linear Regression with Multiple Components
In Tuesday Posters
Kai Zhong · Prateek Jain · Inderjit Dhillon
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #102
Statistical Inference for Pairwise Graphical Models Using Score Matching
In Tuesday Posters
Ming Yu · Mladen Kolar · Varun Gupta
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #103
Hardness of Online Sleeping Combinatorial Optimization Problems
In Tuesday Posters
Satyen Kale · Chansoo Lee · David Pal
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #104
An algorithm for L1 nearest neighbor search via monotonic embedding
In Tuesday Posters
Xinan Wang · Sanjoy Dasgupta
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #105
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
In Tuesday Posters
Chi Jin · Yuchen Zhang · Sivaraman Balakrishnan · Martin J Wainwright · Michael Jordan
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #106
Learning User Perceived Clusters with Feature-Level Supervision
In Tuesday Posters
Ting-Yu Cheng · Guiguan Lin · xinyang gong · Kang-Jun Liu · Shan-Hung (Brandon) Wu
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #107
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
In Tuesday Posters
Xi Chen · Peter Chen · Yan Duan · Rein Houthooft · John Schulman · Ilya Sutskever · Pieter Abbeel
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #108
Neural Universal Discrete Denoiser
In Tuesday Posters
Taesup Moon · Seonwoo Min · Byunghan Lee · Sungroh Yoon
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #109
A primal-dual method for conic constrained distributed optimization problems
In Tuesday Posters
Necdet Serhat Aybat · Erfan Yazdandoost Hamedani
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #110
Simple and Efficient Weighted Minwise Hashing
In Tuesday Posters
ANSHUMALI Shrivastava
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #111
Eliciting Categorical Data for Optimal Aggregation
In Tuesday Posters
Chien-Ju Ho · Rafael Frongillo · Yiling Chen
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #112
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
In Tuesday Posters
Ayan Chakrabarti · Jingyu Shao · Greg Shakhnarovich
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #113
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
In Tuesday Posters
Elad Richardson · Rom Herskovitz · Boris Ginsburg · Michael Zibulevsky
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #114
Reshaped Wirtinger Flow for Solving Quadratic System of Equations
In Tuesday Posters
Huishuai Zhang · Yingbin Liang
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #115
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
In Tuesday Posters
Junhua Mao · Jiajing Xu · Kevin Jing · Alan L Yuille
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #116
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
In Tuesday Posters
Chris Junchi Li · Zhaoran Wang · Han Liu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #117
VIME: Variational Information Maximizing Exploration
In Tuesday Posters
Rein Houthooft · Xi Chen · Peter Chen · Yan Duan · John Schulman · Filip De Turck · Pieter Abbeel
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #118
Deconvolving Feedback Loops in Recommender Systems
In Tuesday Posters
Ayan Sinha · David Gleich · Karthik Ramani
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #119
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
In Tuesday Posters
William Hoiles · Mihaela van der Schaar
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #120
Semiparametric Differential Graph Models
In Tuesday Posters
Pan Xu · Quanquan Gu
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #121
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
In Tuesday Posters
Ming Lin · Jieping Ye
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #122
Sublinear Time Orthogonal Tensor Decomposition
In Tuesday Posters
Zhao Song · David Woodruff · Huan Zhang
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #123
Achieving budget-optimality with adaptive schemes in crowdsourcing
In Tuesday Posters
Ashish Khetan · Sewoong Oh
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #124
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
In Tuesday Posters
Theodore Bluche
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #125
Human Decision-Making under Limited Time
In Tuesday Posters
Pedro Ortega · Alan A Stocker
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #126
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
In Tuesday Posters
Alexander Kirillov · Sasha Shekhovtsov · Carsten Rother · Bogdan Savchynskyy
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #127
Even Faster SVD Decomposition Yet Without Agonizing Pain
In Tuesday Posters
Zeyuan Allen-Zhu · Yuanzhi Li
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #128
Fast and accurate spike sorting of high-channel count probes with KiloSort
In Tuesday Posters
Marius Pachitariu · Nicholas A Steinmetz · Shabnam N Kadir · Matteo Carandini · Daniel D Harris
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #129
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
In Tuesday Posters
Tarun Kathuria · Amit Deshpande · Pushmeet Kohli
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #130
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
In Tuesday Posters
Stefan Lee · Senthil Purushwalkam · mcogswell Cogswell · Viresh Ranjan · David Crandall · Dhruv Batra
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #131
Optimal Sparse Linear Encoders and Sparse PCA
In Tuesday Posters
Malik Magdon-Ismail · Christos Boutsidis
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #132
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
In Tuesday Posters
Zhen Xu · Wen Dong · Sargur N Srihari
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #133
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation
In Tuesday Posters
Xiaotong Yuan · Ping Li · Tong Zhang · Qingshan Liu · Guangcan Liu
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #134
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
In Tuesday Posters
Andreas Veit · Michael J Wilber · Serge Belongie
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #135
Full-Capacity Unitary Recurrent Neural Networks
In Tuesday Posters
Scott Wisdom · Thomas Powers · John Hershey · Jonathan Le Roux · Les Atlas
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #136
Quantum Perceptron Models
In Tuesday Posters
Ashish Kapoor · Nathan Wiebe · Krysta Svore
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #137
Mapping Estimation for Discrete Optimal Transport
In Tuesday Posters
Michaël Perrot · Nicolas Courty · Rémi Flamary · Amaury Habrard
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #138
Stochastic Gradient Geodesic MCMC Methods
In Tuesday Posters
Chang Liu · Jun Zhu · Yang Song
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #139
Variational Information Maximization for Feature Selection
In Tuesday Posters
Shuyang Gao · Greg Ver Steeg · Aram Galstyan
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #140
A Minimax Approach to Supervised Learning
In Tuesday Posters
Farzan Farnia · David Tse
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #141
Fast Distributed Submodular Cover: Public-Private Data Summarization
In Tuesday Posters
Baharan Mirzasoleiman · Morteza Zadimoghaddam · Amin Karbasi
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #142
Domain Separation Networks
In Tuesday Posters
Konstantinos Bousmalis · George Trigeorgis · Nathan Silberman · Dilip Krishnan · Dumitru Erhan
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #143
Multimodal Residual Learning for Visual QA
In Tuesday Posters
Jin-Hwa Kim · Sang-Woo Lee · Donghyun Kwak · Min-Oh Heo · Jeonghee Kim · Jung-Woo Ha · Byoung-Tak Zhang
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #144
Optimizing affinity-based binary hashing using auxiliary coordinates
In Tuesday Posters
Ramin Raziperchikolaei · Miguel A. Carreira-Perpinan
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #145
Coresets for Scalable Bayesian Logistic Regression
In Tuesday Posters
Jonathan Huggins · Trevor Campbell · Tamara Broderick
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #146
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
In Tuesday Posters
Jian Wu · Peter Frazier
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #147
Learning Multiagent Communication with Backpropagation
In Tuesday Posters
Sainaa Sukhbaatar · arthur szlam · Rob Fergus
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #148
Optimal Binary Classifier Aggregation for General Losses
In Tuesday Posters
Akshay Balsubramani · Yoav S Freund
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #149
The Generalized Reparameterization Gradient
In Tuesday Posters
Francisco Ruiz · Michalis Titsias · David Blei
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #150
Conditional Generative Moment-Matching Networks
In Tuesday Posters
Yong Ren · Jun Zhu · Jialian Li · Yucen Luo
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #151
A Credit Assignment Compiler for Joint Prediction
In Tuesday Posters
Kai-Wei Chang · He He · Stephane Ross · Hal Daumé III · John Langford
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #152
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
In Tuesday Posters
Sanghamitra Dutta · Viveck Cadambe · Pulkit Grover
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #153
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
In Tuesday Posters
Ransalu Senanayake · Lionel Ott · Simon O'Callaghan · Fabio Ramos
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #154
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
In Tuesday Posters
Kirthevasan Kandasamy · Maruan Al-Shedivat · Eric Xing
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #155
Integrated perception with recurrent multi-task neural networks
In Tuesday Posters
Hakan Bilen · Andrea Vedaldi
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #156
Blind Attacks on Machine Learners
In Tuesday Posters
Alex Beatson · Zhaoran Wang · Han Liu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #157
Optimistic Gittins Indices
In Tuesday Posters
Eli Gutin · Vivek Farias
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #158
Sub-sampled Newton Methods with Non-uniform Sampling
In Tuesday Posters
Peng Xu · Jiyan Yang · Farbod Roosta-Khorasani · Chris Ré · Michael Mahoney
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #159
Learned Region Sparsity and Diversity Also Predicts Visual Attention
In Tuesday Posters
Zijun Wei · Hossein Adeli · Minh Hoai Nguyen · Greg Zelinsky · Dimitris Samaras
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #160
Adaptive Concentration Inequalities for Sequential Decision Problems
In Tuesday Posters
Shengjia Zhao · Enze Zhou · Ashish Sabharwal · Stefano Ermon
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #161
Cooperative Graphical Models
In Tuesday Posters
Josip Djolonga · Stefanie Jegelka · Sebastian Tschiatschek · Andreas Krause
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #162
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
In Tuesday Posters
Namrata Vaswani · Han Guo
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #163
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
In Tuesday Posters
Hamidreza Kasaei · Ana Maria Tomé · Luís Seabra Lopes
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #164
Optimal Tagging with Markov Chain Optimization
In Tuesday Posters
Nir Rosenfeld · Amir Globerson
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #165
Bayesian optimization for automated model selection
In Tuesday Posters
Gustavo Malkomes · Charles Schaff · Roman Garnett
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #166
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
In Tuesday Posters
Tomoharu Iwata · Makoto Yamada
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #167
Inference by Reparameterization in Neural Population Codes
In Tuesday Posters
Rajkumar Vasudeva Raju · Xaq Pitkow
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #168
Efficient Neural Codes under Metabolic Constraints
In Tuesday Posters
Zhuo Wang · Xue-Xin Wei · Alan A Stocker · Daniel Lee
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #169
Learning Deep Parsimonious Representations
In Tuesday Posters
Renjie Liao · Alex Schwing · Richard Zemel · Raquel Urtasun
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #170
An equivalence between high dimensional Bayes optimal inference and M-estimation
In Tuesday Posters
Madhu Advani · Surya Ganguli
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #171
Minimizing Quadratic Functions in Constant Time
In Tuesday Posters
Kohei Hayashi · Yuichi Yoshida
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #172
Learning Structured Sparsity in Deep Neural Networks
In Tuesday Posters
Wei Wen · Chunpeng Wu · Yandan Wang · Yiran Chen · Hai Li
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #173
Adversarial Multiclass Classification: A Risk Minimization Perspective
In Tuesday Posters
Rizal Fathony · Angie Liu · Kaiser Asif · Brian Ziebart
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #174
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization
In Tuesday Posters
Tyler Johnson · Carlos Guestrin
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #175
Fast and Provably Good Seedings for k-Means
In Tuesday Posters
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #176
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
In Tuesday Posters
Eugene Belilovsky · Gaël Varoquaux · Matthew Blaschko
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #177
Synthesis of MCMC and Belief Propagation
In Tuesday Posters
Sungsoo Ahn · Michael Chertkov · Jinwoo Shin
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #178
Value Iteration Networks
In Tuesday Posters
Aviv Tamar · Sergey Levine · Pieter Abbeel · YI WU · Garrett Thomas
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #179
Sequential Neural Models with Stochastic Layers
In Tuesday Posters
Marco Fraccaro · Søren Kaae Sønderby · Ulrich Paquet · Ole Winther
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #180
Graphons, mergeons, and so on!
In Tuesday Posters
Justin Eldridge · Mikhail Belkin · Yusu Wang
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #181
Hierarchical Clustering via Spreading Metrics
In Tuesday Posters
Aurko Roy · Sebastian Pokutta
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #182
Deep Learning for Predicting Human Strategic Behavior
In Tuesday Posters
Jason Hartford · James R Wright · Kevin Leyton-Brown
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #183
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
In Tuesday Posters
Ji Xu · Daniel Hsu · Arian Maleki
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #184
Supervised learning through the lens of compression
In Tuesday Posters
Ofir David · Shay Moran · Amir Yehudayoff
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #185
Matrix Completion has No Spurious Local Minimum
In Tuesday Posters
Rong Ge · Jason Lee · Tengyu Ma
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #186
Clustering with Same-Cluster Queries
In Tuesday Posters
Hassan Ashtiani · Shrinu Kushagra · Shai Ben-David
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #187
MetaGrad: Multiple Learning Rates in Online Learning
In Tuesday Posters
Tim van Erven · Wouter Koolen
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #188
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
In Tuesday Posters
Aapo Hyvarinen · Hiroshi Morioka
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #189
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
In Tuesday Posters
Daniel Neil · Michael Pfeiffer · Shih-Chii Liu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #190
Tractable Operations for Arithmetic Circuits of Probabilistic Models
In Tuesday Posters
Yujia Shen · Arthur Choi · Adnan Darwiche
[ PDF]  [ Video] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #191
Using Fast Weights to Attend to the Recent Past
In Tuesday Posters
Jimmy Ba · Geoffrey E Hinton · Volodymyr Mnih · Joel Leibo · Catalin Ionescu
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #192
Bayesian Intermittent Demand Forecasting for Large Inventories
In Tuesday Posters
Matthias W Seeger · David Salinas · Valentin Flunkert
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #193
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
In Tuesday Posters
Jean-Bastien Grill · Michal Valko · Remi Munos
[ PDF] 
Poster
Tue Dec 06 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #194
SDP Relaxation with Randomized Rounding for Energy Disaggregation
In Tuesday Posters
Kiarash Shaloudegi · András György · Csaba Szepesvari · Wilsun Xu
[ PDF] 
Break
Tue Dec 06 10:10 AM -- 10:40 AM (PST)
Coffee Break
Break
Tue Dec 06 03:50 PM -- 04:20 PM (PST)
Coffee Break
Invited Talk
Wed Dec 07 12:00 AM -- 12:50 AM (PST) @ Area 1 + 2
Machine Learning and Likelihood-Free Inference in Particle Physics
In Invited Talks (Wed)
Kyle Cranmer
[ Video] 
Oral
Wed Dec 07 12:50 AM -- 01:10 AM (PST) @ Area 1 + 2
Matrix Completion has No Spurious Local Minimum
In Award Talk
Rong Ge · Jason Lee · Tengyu Ma
[ Video] 
Oral
Wed Dec 07 01:40 AM -- 02:00 AM (PST) @ Area 3
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
In Algorithms
Emmanuel Abbe · Colin Sandon
[ Video] 
Oral
Wed Dec 07 01:40 AM -- 02:00 AM (PST) @ Area 1 + 2
Large-Scale Price Optimization via Network Flow
In Applications
Shinji Ito · Ryohei Fujimaki
[ Video] 
Oral
Wed Dec 07 02:00 AM -- 02:20 AM (PST) @ Area 3
Orthogonal Random Features
In Algorithms
Felix Xinnan Yu · Ananda Theertha Suresh · Krzysztof M Choromanski · Daniel Holtmann-Rice · Sanjiv Kumar
[ Video] 
Oral
Wed Dec 07 02:00 AM -- 02:20 AM (PST) @ Area 1 + 2
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
In Applications
Tianfan Xue · Jiajun Wu · Katie Bouman · Bill Freeman
[ Video] 
Oral
Wed Dec 07 02:20 AM -- 02:40 AM (PST) @ Area 3
Poisson-Gamma dynamical systems
In Algorithms
Aaron Schein · Hanna Wallach · Mingyuan Zhou
[ Video] 
Oral
Wed Dec 07 02:20 AM -- 02:40 AM (PST) @ Area 1 + 2
Supervised Word Mover's Distance
In Applications
Gao Huang · Chuan Guo · Matt J Kusner · Yu Sun · Fei Sha · Kilian Weinberger
[ Video] 
Oral
Wed Dec 07 02:40 AM -- 03:00 AM (PST) @ Area 3
The Multiscale Laplacian Graph Kernel
In Algorithms
Risi Kondor · Horace Pan
[ Video] 
Oral
Wed Dec 07 02:40 AM -- 03:00 AM (PST) @ Area 1 + 2
Beyond Exchangeability: The Chinese Voting Process
In Applications
Moontae Lee · Seok Hyun Jin · David Mimno
[ Video] 
Oral
Wed Dec 07 03:00 AM -- 03:20 AM (PST) @ Area 3
Stochastic Online AUC Maximization
In Algorithms
Yiming Ying · Longyin Wen · Siwei Lyu
[ Video] 
Oral
Wed Dec 07 03:00 AM -- 03:20 AM (PST) @ Area 1 + 2
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
In Applications
Vladimir Golkov · Marcin Skwark · Antonij Golkov · Alexey Dosovitskiy · Thomas Brox · Jens Meiler · Daniel Cremers
[ Video] 
Demonstration
Wed Dec 07 03:30 AM -- 06:00 AM (PST) @ ‎Leonardo Da Vinci Square
Live Demo: Detecting Unexpected Obstacles for Self-Driving Cars
In Demos (Wed)
Sebastian Ramos · Peter Pinggera · stefan gehrig · Daimler AG · Carsten Rother
Invited Talk
Wed Dec 07 06:00 AM -- 06:50 AM (PST) @ Area 1 + 2
Dynamic Legged Robots
In Invited Talks (Wed)
Marc Raibert
Oral
Wed Dec 07 07:20 AM -- 07:40 AM (PST) @ Area 1 + 2
Deep Learning without Poor Local Minima
In Deep Learning 2
Kenji Kawaguchi
[ Video] 
Oral
Wed Dec 07 07:20 AM -- 07:40 AM (PST) @ Area 3
Without-Replacement Sampling for Stochastic Gradient Methods
In Optimization
Ohad Shamir
[ Video] 
Oral
Wed Dec 07 07:40 AM -- 08:00 AM (PST) @ Area 1 + 2
Universal Correspondence Network
In Deep Learning 2
Christopher B Choy · Manmohan Chandraker · JunYoung Gwak · Silvio Savarese
Oral
Wed Dec 07 07:40 AM -- 08:00 AM (PST) @ Area 3
Regularized Nonlinear Acceleration
In Optimization
Damien Scieur · Alexandre d'Aspremont · Francis Bach
[ Video] 
Oral
Wed Dec 07 08:00 AM -- 08:20 AM (PST) @ Area 1 + 2
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
In Deep Learning 2
Pulkit Agrawal · Ashvin Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine
[ Video] 
Oral
Wed Dec 07 08:00 AM -- 08:20 AM (PST) @ Area 3
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
In Optimization
Dan Garber · Dan Garber · Ofer Meshi
Oral
Wed Dec 07 08:20 AM -- 08:40 AM (PST) @ Area 1 + 2
Learning What and Where to Draw
In Deep Learning 2
Scott E Reed · Zeynep Akata · Santosh Mohan · Samuel Tenka · Bernt Schiele · Honglak Lee
[ Video] 
Oral
Wed Dec 07 08:20 AM -- 08:40 AM (PST) @ Area 3
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
In Optimization
Vitaly Feldman
[ Video] 
Oral
Wed Dec 07 08:40 AM -- 09:00 AM (PST) @ Area 1 + 2
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
In Deep Learning 2
Tim Salimans · Diederik Kingma
[ Video] 
Oral
Wed Dec 07 08:40 AM -- 09:00 AM (PST) @ Area 3
Bayesian Optimization with Robust Bayesian Neural Networks
In Optimization
Jost Tobias Springenberg · Aaron Klein · Stefan Falkner · Frank Hutter
[ Video] 
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Adapting Microsoft's CNTK and ResNet-18 to Enable Strong-Scaling on Cray Systems
In Demos (Wed)
Mark Staveley
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Adventures with Deep Generator Networks
In Demos (Wed)
Jason Yosinski · Anh Nguyen · Jeff Clune · Douglas K Bemis
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
End-to-End Web Navigation
In Demos (Wed)
Rodrigo Frassetto Nogueira
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Neural Puppet
In Demos (Wed)
Tom White
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Biometric applications of CNNs: get a job at "Impending Technologies"!
In Demos (Wed)
Sergio Escalera · Isabelle Guyon · Baiyu Chen · Marc P Quintana · Umut Güçlü · Yağmur Güçlütürk · Xavier Baró · Rob van Lier · Carlos Andujar · Marcel A. J. van Gerven · Bernhard E Boser · Luke Wang
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Automated simulation and replication of fMRI experiments
In Demos (Wed)
Leila Wehbe · Alexander G Huth · Fatma Deniz · Marie-Luise Kieseler · Jack Gallant
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Nullhop: Flexibly efficient FPGA CNN accelerator driven by DAVIS neuromorphic vision sensor
In Demos (Wed)
Alessandro Aimar · Enrico Calabrese · Hesham Mostafa · Antonio Rios-Navarro · Ricardo Tapiador · Iulia-Alexandra Lungu · Angel F. Jimenez-Fernandez · Federico Corradi · Shih-Chii Liu · Alejandro Linares-Barranco · Tobi Delbruck
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
deepGTTM-I: local grouping boundary analyzer
In Demos (Wed)
Masatoshi Hamanaka
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Realistic Virtual Worlds and Human Actions for Video Understanding
In Demos (Wed)
César R. De Souza · Adrien Gaidon · Antonio M López
Demonstration
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5 + 6 + 7 + 8
Interactive musical improvisation with Magenta
In Demos (Wed)
Adam Roberts · Jesse Engel · Curtis "Fjord" Hawthorne · Ian Simon · Elliot Waite · Sageev Oore · Natasha Jaques · Cinjon Resnick · Douglas Eck
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #1
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
In Wednesday Posters
Chengtao Li · Suvrit Sra · Stefanie Jegelka
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #2
Unsupervised Learning of 3D Structure from Images
In Wednesday Posters
Danilo Jimenez Rezende · Ali Eslami · Shakir Mohamed · Peter Battaglia · Max Jaderberg · Nicolas Heess
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #3
The Multiple Quantile Graphical Model
In Wednesday Posters
Alnur Ali · J. Zico Kolter · Ryan Tibshirani
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #4
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
In Wednesday Posters
Bo Wang · Junjie Zhu · Armin Pourshafeie · Oana Ursu · Serafim Batzoglou · Anshul Kundaje
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #5
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
In Wednesday Posters
Yizhe Zhang · Xiangyu Wang · Changyou Chen · Ricardo Henao · Kai Fan · Lawrence Carin
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #6
Differential Privacy without Sensitivity
In Wednesday Posters
Kentaro Minami · Hiromi Arai · Issei Sato · Hiroshi Nakagawa
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #7
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
In Wednesday Posters
Tim Rubin · Sanmi Koyejo · Michael Jones · Tal Yarkoni
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #8
Kronecker Determinantal Point Processes
In Wednesday Posters
Zelda Mariet · Suvrit Sra
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #9
Variance Reduction in Stochastic Gradient Langevin Dynamics
In Wednesday Posters
Avinava Dubey · Sashank J. Reddi · Sinead Williamson · Barnabas Poczos · Alex Smola · Eric Xing
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #10
Online Pricing with Strategic and Patient Buyers
In Wednesday Posters
Michal Feldman · Tomer Koren · Roi Livni · Yishay Mansour · Aviv Zohar
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #11
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
In Wednesday Posters
Zeyuan Allen-Zhu · Yang Yuan · Karthik Sridharan
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #12
Clustering Signed Networks with the Geometric Mean of Laplacians
In Wednesday Posters
Pedro Mercado · Francesco Tudisco · Matthias Hein
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #13
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
In Wednesday Posters
Pan Zhang
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #14
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
In Wednesday Posters
Xinchen Yan · Jimei Yang · Ersin Yumer · Yijie Guo · Honglak Lee
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #15
Launch and Iterate: Reducing Prediction Churn
In Wednesday Posters
Mahdi Milani Fard · Quentin Cormier · Kevin Canini · Maya Gupta
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #16
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
In Wednesday Posters
Bo Li · Yining Wang · Aarti Singh · Yevgeniy Vorobeychik
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #17
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
In Wednesday Posters
Jack Rae · Jonathan J Hunt · Ivo Danihelka · Tim Harley · Andrew Senior · Greg Wayne · Alex Graves · Timothy Lillicrap
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #18
Optimal Architectures in a Solvable Model of Deep Networks
In Wednesday Posters
Jonathan Kadmon · Haim Sompolinsky
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #19
Scalable Adaptive Stochastic Optimization Using Random Projections
In Wednesday Posters
Gabriel Krummenacher · Brian McWilliams · Yannic Kilcher · Joachim M Buhmann · Nicolai Meinshausen
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #20
Spectral Learning of Dynamic Systems from Nonequilibrium Data
In Wednesday Posters
Hao Wu · Frank Noe
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #21
Local Minimax Complexity of Stochastic Convex Optimization
In Wednesday Posters
sabyasachi chatterjee · John Duchi · John Lafferty · Yuancheng Zhu
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #22
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
In Wednesday Posters
Yarin Gal · Zoubin Ghahramani
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #23
Brains on Beats
In Wednesday Posters
Umut Güçlü · Jordy Thielen · Michael Hanke · Marcel van Gerven · Marcel A. J. van Gerven
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #24
A Communication-Efficient Parallel Algorithm for Decision Tree
In Wednesday Posters
dreamqi Meng · Guolin Ke · Taifeng Wang · Wei Chen · Qiwei Ye · Zhi-Ming Ma · Tie-Yan Liu
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #25
Leveraging Sparsity for Efficient Submodular Data Summarization
In Wednesday Posters
Erik Lindgren · Shanshan Wu · Alex Dimakis
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #26
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction
In Wednesday Posters
Jacob Steinhardt · Gregory Valiant · Moses Charikar
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #27
Designing smoothing functions for improved worst-case competitive ratio in online optimization
In Wednesday Posters
Reza Eghbali · Maryam Fazel
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #28
The Forget-me-not Process
In Wednesday Posters
Kieran Milan · Joel Veness · James Kirkpatrick · Michael Bowling · Anna Koop · Demis Hassabis
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #29
Generating Videos with Scene Dynamics
In Wednesday Posters
Carl Vondrick · Hamed Pirsiavash · Antonio Torralba
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #30
The Robustness of Estimator Composition
In Wednesday Posters
Pingfan Tang · Jeff M Phillips
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #31
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
In Wednesday Posters
Kihyuk Sohn
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #32
Preference Completion from Partial Rankings
In Wednesday Posters
Suriya Gunasekar · Sanmi Koyejo · Joydeep Ghosh
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #33
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
In Wednesday Posters
Victor Picheny · Robert B Gramacy · Stefan Wild · Sebastien Le Digabel
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #34
Privacy Odometers and Filters: Pay-as-you-Go Composition
In Wednesday Posters
Ryan Rogers · Salil Vadhan · Aaron Roth · Jonathan Ullman
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #35
Large Margin Discriminant Dimensionality Reduction in Prediction Space
In Wednesday Posters
Ehsan Saberian · Jose Costa Pereira · Nuno Nvasconcelos · Can Xu
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #36
Tight Complexity Bounds for Optimizing Composite Objectives
In Wednesday Posters
Blake Woodworth · Nati Srebro
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #37
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
In Wednesday Posters
Noah Apthorpe · Alexander Riordan · Robert Aguilar · Jan Homann · Yi Gu · David Tank · H. Sebastian Seung
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #38
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
In Wednesday Posters
Tejas Kulkarni · Karthik Narasimhan · Ardavan Saeedi · Josh Tenenbaum
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #39
Conditional Image Generation with PixelCNN Decoders
In Wednesday Posters
Aaron van den Oord · Nal Kalchbrenner · Lasse Espeholt · koray kavukcuoglu · Oriol Vinyals · Alex Graves
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #40
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
In Wednesday Posters
Hao Wang · Xingjian SHI · Dit-Yan Yeung
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #41
Long-term Causal Effects via Behavioral Game Theory
In Wednesday Posters
Panos Toulis · David Parkes
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #42
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
In Wednesday Posters
Michael Figurnov · Aizhan Ibraimova · Dmitry Vetrov · Pushmeet Kohli
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #43
A Probabilistic Programming Approach To Probabilistic Data Analysis
In Wednesday Posters
Feras Saad · Vikash Mansinghka
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #44
Learning Bayesian networks with ancestral constraints
In Wednesday Posters
Eunice Yuh-Jie Chen · Yujia Shen · Arthur Choi · Adnan Darwiche
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #45
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
In Wednesday Posters
Gang Wang · Georgios Giannakis
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #46
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
In Wednesday Posters
Ahmed M. Alaa · Mihaela van der Schaar
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #47
Structure-Blind Signal Recovery
In Wednesday Posters
Dmitry Ostrovsky · Zaid Harchaoui · Anatoli Juditsky · Arkadi S Nemirovski
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #48
Spatiotemporal Residual Networks for Video Action Recognition
In Wednesday Posters
Christoph Feichtenhofer · Axel Pinz · Richard Wildes
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #49
CMA-ES with Optimal Covariance Update and Storage Complexity
In Wednesday Posters
Oswin Krause · Dídac Rodríguez Arbonès · Christian Igel
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #50
Latent Attention For If-Then Program Synthesis
In Wednesday Posters
Chang Liu · Xinyun Chen · Richard Shin · Mingcheng Chen · Dawn Song
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #51
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
In Wednesday Posters
damekdavis Davis · Brent Edmunds · Madeleine Udell
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #52
An Efficient Streaming Algorithm for the Submodular Cover Problem
In Wednesday Posters
Ashkan Norouzi-Fard · Abbas Bazzi · Ilija Bogunovic · Marwa El Halabi · Ya-Ping Hsieh · Volkan Cevher
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #53
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
In Wednesday Posters
Ali Eslami · Nicolas Heess · Theophane Weber · Yuval Tassa · David Szepesvari · koray kavukcuoglu · Geoffrey E Hinton
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #54
An ensemble diversity approach to supervised binary hashing
In Wednesday Posters
Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #55
End-to-End Goal-Driven Web Navigation
In Wednesday Posters
Rodrigo Nogueira · Kyunghyun Cho
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #56
The Power of Adaptivity in Identifying Statistical Alternatives
In Wednesday Posters
Kevin Jamieson · Daniel Haas · Benjamin Recht
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #57
A Probabilistic Framework for Deep Learning
In Wednesday Posters
Ankit Patel · Tan Nguyen · Richard Baraniuk
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #58
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
In Wednesday Posters
Ilya Tolstikhin · Bharath Sriperumbudur · Bernhard Schölkopf
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #59
Adaptive Neural Compilation
In Wednesday Posters
Rudy Bunel · Alban Desmaison · Pawan K Mudigonda · Pushmeet Kohli · Philip Torr
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #60
Tagger: Deep Unsupervised Perceptual Grouping
In Wednesday Posters
Klaus Greff · Antti Rasmus · Mathias Berglund · Hotloo Xiranood Xiranood · Harri Valpola · Jürgen Schmidhuber
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #61
A scaled Bregman theorem with applications
In Wednesday Posters
Richard Nock · Aditya Menon · Cheng Soon Ong
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #62
Learning feed-forward one-shot learners
In Wednesday Posters
Luca Bertinetto · João Henriques · Jack Valmadre · Philip Torr · Andrea Vedaldi
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #63
Error Analysis of Generalized Nyström Kernel Regression
In Wednesday Posters
Hong Chen · Haifeng Xia · Heng Huang · Weidong Cai
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #64
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
In Wednesday Posters
Weihao Gao · Sewoong Oh · Pramod Viswanath
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #65
Asynchronous Parallel Greedy Coordinate Descent
In Wednesday Posters
Yang You · Xiangru Lian · Prof. Ji Liu Liu · Hsiang-Fu (Rofu) Yu · Inderjit Dhillon · James Demmel · Cho-Jui Hsieh
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #66
Structured Prediction Theory Based on Factor Graph Complexity
In Wednesday Posters
Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #67
Parameter Learning for Log-supermodular Distributions
In Wednesday Posters
Tatiana Shpakova · Francis Bach
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #68
Exact Recovery of Hard Thresholding Pursuit
In Wednesday Posters
Xiaotong Yuan · Ping Li · Tong Zhang
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #69
New Liftable Classes for First-Order Probabilistic Inference
In Wednesday Posters
Seyed Mehran Kazemi · Angelika Kimmig · Guy Van den Broeck · David Poole
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #70
Variational Inference in Mixed Probabilistic Submodular Models
In Wednesday Posters
Josip Djolonga · Sebastian Tschiatschek · Andreas Krause
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #71
Unifying Count-Based Exploration and Intrinsic Motivation
In Wednesday Posters
Marc Bellemare · Sriram Srinivasan · Georg Ostrovski · Tom Schaul · David Saxton · Remi Munos
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #72
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods
In Wednesday Posters
Andrej Risteski · Yuanzhi Li
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #73
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
In Wednesday Posters
Jingwei Liang · Jalal Fadili · Gabriel Peyré
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #74
Fast and Flexible Monotonic Functions with Ensembles of Lattices
In Wednesday Posters
Mahdi Milani Fard · Kevin Canini · Andy Cotter · Jan Pfeifer Pfeifer · Maya Gupta
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #75
Architectural Complexity Measures of Recurrent Neural Networks
In Wednesday Posters
Saizheng Zhang · Yuhuai Wu · Tong Che · Zhouhan Lin · Roland Memisevic · Russ Salakhutdinov · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #76
Online Convex Optimization with Unconstrained Domains and Losses
In Wednesday Posters
Ashok Cutkosky · Kwabena A Boahen
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #77
Split LBI: An Iterative Regularization Path with Structural Sparsity
In Wednesday Posters
Chendi Huang · Xinwei Sun · Jiechao Xiong · Yuan Yao
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #78
Variational Autoencoder for Deep Learning of Images, Labels and Captions
In Wednesday Posters
Yunchen Pu · Zhe Gan · Ricardo Henao · Xin Yuan · Chunyuan Li · Andrew Stevens · Lawrence Carin
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #79
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates
In Wednesday Posters
Yuanzhi Li · Yingyu Liang · Andrej Risteski
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #80
Proximal Deep Structured Models
In Wednesday Posters
Shenlong Wang · Sanja Fidler · Raquel Urtasun
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #81
Safe Policy Improvement by Minimizing Robust Baseline Regret
In Wednesday Posters
Mohammad Ghavamzadeh · Marek Petrik · Yinlam Chow
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #82
A Pseudo-Bayesian Algorithm for Robust PCA
In Wednesday Posters
Tae-Hyun Oh · Yasuyuki Matsushita · In So Kweon · David Wipf
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #83
Learning values across many orders of magnitude
In Wednesday Posters
Hado van Hasselt · Arthur Guez · Arthur Guez · Matteo Hessel · Volodymyr Mnih · David Silver
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #84
Single Pass PCA of Matrix Products
In Wednesday Posters
Shanshan Wu · Srinadh Bhojanapalli · Sujay Sanghavi · Alex Dimakis
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #85
Convolutional Neural Fabrics
In Wednesday Posters
Shreyas Saxena · Jakob Verbeek
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #86
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
In Wednesday Posters
Xinghua Lou · Ken Kansky · Wolfgang Lehrach · CC Laan · Bhaskara Marthi · D. Phoenix · Dileep George
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #87
Mixed vine copulas as joint models of spike counts and local field potentials
In Wednesday Posters
Arno Onken · Stefano Panzeri
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #88
Optimal Black-Box Reductions Between Optimization Objectives
In Wednesday Posters
Zeyuan Allen-Zhu · Elad Hazan
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #89
Dialog-based Language Learning
In Wednesday Posters
Jason E Weston
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #90
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
In Wednesday Posters
Wei-Shou Hsu · Pascal Poupart
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #91
A Sparse Interactive Model for Matrix Completion with Side Information
In Wednesday Posters
Jin Lu · Guannan Liang · Jiangwen Sun · Jinbo Bi
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #92
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
In Wednesday Posters
Ilija Bogunovic · Jonathan Scarlett · Andreas Krause · Volkan Cevher
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #93
On Mixtures of Markov Chains
In Wednesday Posters
Rishi Gupta · Ravi Kumar · Sergei Vassilvitskii
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #94
High Dimensional Structured Superposition Models
In Wednesday Posters
Qilong Gu · Arindam Banerjee
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #95
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
In Wednesday Posters
Lalit Jain · Kevin Jamieson · Rob Nowak
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #96
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
In Wednesday Posters
Han-Jia Ye · De-Chuan Zhan · Xue-Min Si · Yuan Jiang · Zhi-Hua Zhou
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #97
Unsupervised Learning of Spoken Language with Visual Context
In Wednesday Posters
David Harwath · Antonio Torralba · James Glass
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #98
Cyclades: Conflict-free Asynchronous Machine Learning
In Wednesday Posters
Xinghao Pan · Maximilian Lam · Stephen Tu · Dimitrios Papailiopoulos · Ce Zhang · Michael Jordan · Kannan Ramchandran · Chris Ré · Benjamin Recht
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #99
Disease Trajectory Maps
In Wednesday Posters
Peter Schulam · Raman Arora
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #100
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
In Wednesday Posters
George Papamakarios · Iain Murray
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #101
Stochastic Structured Prediction under Bandit Feedback
In Wednesday Posters
Artem Sokolov · Julia Kreutzer · Stefan Riezler · Christopher Lo
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #102
Learning under uncertainty: a comparison between R-W and Bayesian approach
In Wednesday Posters
Crane Huang · Martin Paulus
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #103
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
In Wednesday Posters
Taiji Suzuki · Heishiro Kanagawa · Hayato Kobayashi · Nobuyuki Shimizu · Yukihiro Tagami
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #104
On the Recursive Teaching Dimension of VC Classes
In Wednesday Posters
Peter Chen · Xi Chen · Yu Cheng · Bo Tang
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #105
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
In Wednesday Posters
Yossi Arjevani · Ohad Shamir
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #106
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
In Wednesday Posters
Sebastian Nowozin · Botond Cseke · Ryota Tomioka
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #107
Low-Rank Regression with Tensor Responses
In Wednesday Posters
Guillaume Rabusseau · Hachem Kadri
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #108
Double Thompson Sampling for Dueling Bandits
In Wednesday Posters
Huasen Wu · Xin Liu
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #109
Linear dynamical neural population models through nonlinear embeddings
In Wednesday Posters
Yuanjun Gao · Evan W Archer · Liam Paninski · John Cunningham
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #110
Regret Bounds for Non-decomposable Metrics with Missing Labels
In Wednesday Posters
Nagarajan Natarajan · Prateek Jain
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #111
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
In Wednesday Posters
Liangbei Xu · Mark Davenport
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #112
Rényi Divergence Variational Inference
In Wednesday Posters
Yingzhen Li · Richard Turner
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #113
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making
In Wednesday Posters
Himabindu Lakkaraju · Jure Leskovec
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #114
Adaptive Averaging in Accelerated Descent Dynamics
In Wednesday Posters
Walid Krichene · Alexandre Bayen · Peter Bartlett
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #115
Bayesian Optimization for Probabilistic Programs
In Wednesday Posters
Tom Rainforth · Tuan Anh Le · Jan-Willem van de Meent · Michael A Osborne · Frank Wood
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #116
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
In Wednesday Posters
Weiran Wang · Jialei Wang · Dan Garber · Dan Garber · Nati Srebro
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #117
A Unified Approach for Learning the Parameters of Sum-Product Networks
In Wednesday Posters
Han Zhao · Pascal Poupart · Geoffrey Gordon
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #118
Feature-distributed sparse regression: a screen-and-clean approach
In Wednesday Posters
Jiyan Yang · Michael Mahoney · Michael Saunders · Yuekai Sun
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #119
Backprop KF: Learning Discriminative Deterministic State Estimators
In Wednesday Posters
Tuomas Haarnoja · Anurag Ajay · Sergey Levine · Pieter Abbeel
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #120
Swapout: Learning an ensemble of deep architectures
In Wednesday Posters
Saurabh Singh · Derek Hoiem · David Forsyth
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #121
Assortment Optimization Under the Mallows model
In Wednesday Posters
Antoine Desir · Vineet Goyal · Srikanth Jagabathula · Danny Segev
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #122
Operator Variational Inference
In Wednesday Posters
Rajesh Ranganath · Dustin Tran · Jaan Altosaar · David Blei
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #123
Select-and-Sample for Spike-and-Slab Sparse Coding
In Wednesday Posters
Abdul-Saboor Sheikh · Jörg Lücke
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #124
Fast recovery from a union of subspaces
In Wednesday Posters
Chinmay Hegde · Piotr Indyk · Ludwig Schmidt
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #125
Ladder Variational Autoencoders
In Wednesday Posters
Casper Kaae Sønderby · Tapani Raiko · Lars Maaløe · Søren Kaae Sønderby · Ole Winther
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #126
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
In Wednesday Posters
Dehua Cheng · Richard Peng · Yan Liu · Kimis Perros
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #127
CRF-CNN: Modeling Structured Information in Human Pose Estimation
In Wednesday Posters
Xiao Chu · Wanli Ouyang · hongsheng Li · Xiaogang Wang
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #128
A Consistent Regularization Approach for Structured Prediction
In Wednesday Posters
Carlo Ciliberto · Lorenzo Rosasco · Alessandro Rudi
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #129
Refined Lower Bounds for Adversarial Bandits
In Wednesday Posters
Sébastien Gerchinovitz · Tor Lattimore
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #130
Learning Deep Embeddings with Histogram Loss
In Wednesday Posters
Evgeniya Ustinova · Victor Lempitsky
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #131
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
In Wednesday Posters
Yexiang Xue · zhiyuan li · Stefano Ermon · Carla Gomes · Bart Selman
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #132
Kernel Bayesian Inference with Posterior Regularization
In Wednesday Posters
Yang Song · Jun Zhu · Yong Ren
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #133
Learning Influence Functions from Incomplete Observations
In Wednesday Posters
Xinran He · Ke Xu · David Kempe · Yan Liu
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #134
General Tensor Spectral Co-clustering for Higher-Order Data
In Wednesday Posters
Tao Wu · Austin Benson · David Gleich
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #135
Bayesian latent structure discovery from multi-neuron recordings
In Wednesday Posters
Scott Linderman · Ryan Adams · Jonathan Pillow
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #136
Estimating the Size of a Large Network and its Communities from a Random Sample
In Wednesday Posters
Lin Chen · Amin Karbasi · Forrest W. Crawford
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #137
Wasserstein Training of Restricted Boltzmann Machines
In Wednesday Posters
Grégoire Montavon · Klaus-Robert Müller · Marco Cuturi
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #138
Deep ADMM-Net for Compressive Sensing MRI
In Wednesday Posters
yan yang · Jian Sun · Huibin Li · Zongben Xu
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #139
Maximization of Approximately Submodular Functions
In Wednesday Posters
Thibaut Horel · Yaron Singer
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #140
Combining Low-Density Separators with CNNs
In Wednesday Posters
Yu-Xiong Wang · Martial Hebert
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #141
Learning Sensor Multiplexing Design through Back-propagation
In Wednesday Posters
Ayan Chakrabarti
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #142
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
In Wednesday Posters
Kameron Harris · Stefan Mihalas · Eric Shea-Brown
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #143
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
In Wednesday Posters
Jiajun Wu · Chengkai Zhang · Tianfan Xue · Bill Freeman · Josh Tenenbaum
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #144
Learning Sparse Gaussian Graphical Models with Overlapping Blocks
In Wednesday Posters
Mohammad Javad Hosseini · Su-In Lee
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #145
Multi-step learning and underlying structure in statistical models
In Wednesday Posters
Maia Fraser
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #146
Dynamic Network Surgery for Efficient DNNs
In Wednesday Posters
Yiwen Guo · Anbang Yao · Yurong Chen
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #147
Active Nearest-Neighbor Learning in Metric Spaces
In Wednesday Posters
Aryeh Kontorovich · Sivan Sabato · Ruth Urner
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #148
Discriminative Gaifman Models
In Wednesday Posters
Mathias Niepert
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #149
Professor Forcing: A New Algorithm for Training Recurrent Networks
In Wednesday Posters
Alex M Lamb · Anirudh Goyal ALIAS PARTH GOYAL · Ying Zhang · Saizheng Zhang · Aaron Courville · Yoshua Bengio
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #150
Pruning Random Forests for Prediction on a Budget
In Wednesday Posters
Feng Nan · Joe Wang · Venkatesh Saligrama
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #151
Multistage Campaigning in Social Networks
In Wednesday Posters
Mehrdad Farajtabar · Xiaojing Ye · Sahar Harati · Le Song · Hongyuan Zha
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #152
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
In Wednesday Posters
Yichen Wang · Nan Du · Rakshit Trivedi · Le Song
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #153
Coordinate-wise Power Method
In Wednesday Posters
Qi Lei · Kai Zhong · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #154
Barzilai-Borwein Step Size for Stochastic Gradient Descent
In Wednesday Posters
Conghui Tan · Shiqian Ma · Yu-Hong Dai · Yuqiu Qian
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #155
Fast learning rates with heavy-tailed losses
In Wednesday Posters
Vu C Dinh · Lam S Ho · Binh Nguyen · Duy Nguyen
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #156
CliqueCNN: Deep Unsupervised Exemplar Learning
In Wednesday Posters
Miguel A Bautista · Artsiom Sanakoyeu · Ekaterina Tikhoncheva · Bjorn Ommer
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #157
Guided Policy Search via Approximate Mirror Descent
In Wednesday Posters
William H Montgomery · Sergey Levine
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #158
Structured Sparse Regression via Greedy Hard Thresholding
In Wednesday Posters
Prateek Jain · Nikhil Rao · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #159
Learning in Games: Robustness of Fast Convergence
In Wednesday Posters
Dylan Foster · zhiyuan li · Thodoris Lykouris · Karthik Sridharan · Eva Tardos
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #160
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
In Wednesday Posters
Roger Grosse · Siddharth Ancha · Dan Roy
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #161
Average-case hardness of RIP certification
In Wednesday Posters
Tengyao Wang · Quentin Berthet · Yaniv Plan
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #162
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
In Wednesday Posters
Chi Jin · Sham Kakade · Praneeth Netrapalli
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #163
Infinite Hidden Semi-Markov Modulated Interaction Point Process
In Wednesday Posters
matt zhang · Peng Lin · Peng Lin · Ting Guo · Yang Wang · Yang Wang · Fang Chen
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #164
Linear Contextual Bandits with Knapsacks
In Wednesday Posters
Shipra Agrawal · Nikhil Devanur
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #165
Selective inference for group-sparse linear models
In Wednesday Posters
Fan Yang · Rina Barber · Prateek Jain · John Lafferty
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #166
Deep Neural Networks with Inexact Matching for Person Re-Identification
In Wednesday Posters
Arulkumar Subramaniam · Moitreya Chatterjee · Anurag Mittal
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #167
Accelerating Stochastic Composition Optimization
In Wednesday Posters
Mengdi Wang · Prof. Ji Liu Liu · Ethan Fang
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #168
Learning Bound for Parameter Transfer Learning
In Wednesday Posters
Wataru Kumagai
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #169
Can Active Memory Replace Attention?
In Wednesday Posters
Łukasz Kaiser · Samy Bengio
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #170
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
In Wednesday Posters
Wenjie Luo · Yujia Li · Raquel Urtasun · Richard Zemel
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #171
Local Similarity-Aware Deep Feature Embedding
In Wednesday Posters
Chen Huang · Chen Change Loy · Xiaoou Tang
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #172
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
In Wednesday Posters
Julien Mairal
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #173
Single-Image Depth Perception in the Wild
In Wednesday Posters
Weifeng Chen · Zhao Fu · Dawei Yang · Jia Deng
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #174
Without-Replacement Sampling for Stochastic Gradient Methods
In Wednesday Posters
Ohad Shamir
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #174
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
In Wednesday Posters
Amit Daniely · Roy Frostig · Yoram Singer
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #200
R-FCN: Object Detection via Region-based Fully Convolutional Networks
In Wednesday Posters
jifeng dai · Yi Li · Kaiming He · Jian Sun
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #175
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
In Wednesday Posters
Tianfan Xue · Jiajun Wu · Katie Bouman · Bill Freeman
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #176
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random
In Wednesday Posters
Ilya Shpitser
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #176
Learning What and Where to Draw
In Wednesday Posters
Scott E Reed · Zeynep Akata · Santosh Mohan · Samuel Tenka · Bernt Schiele · Honglak Lee
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #177
Stochastic Online AUC Maximization
In Wednesday Posters
Yiming Ying · Longyin Wen · Siwei Lyu
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #178
Deep Learning without Poor Local Minima
In Wednesday Posters
Kenji Kawaguchi
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #179
Regularized Nonlinear Acceleration
In Wednesday Posters
Damien Scieur · Alexandre d'Aspremont · Francis Bach
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #180
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
In Wednesday Posters
Pulkit Agrawal · Ashvin Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #181
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
In Wednesday Posters
Tim Salimans · Diederik Kingma
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #182
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
In Wednesday Posters
Dan Garber · Dan Garber · Ofer Meshi
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #183
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
In Wednesday Posters
Emmanuel Abbe · Colin Sandon
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #184
Orthogonal Random Features
In Wednesday Posters
Felix Xinnan Yu · Ananda Theertha Suresh · Krzysztof M Choromanski · Daniel Holtmann-Rice · Sanjiv Kumar
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #185
Universal Correspondence Network
In Wednesday Posters
Christopher B Choy · Manmohan Chandraker · JunYoung Gwak · Silvio Savarese
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #186
The Multiscale Laplacian Graph Kernel
In Wednesday Posters
Risi Kondor · Horace Pan
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #187
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
In Wednesday Posters
Vitaly Feldman
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #188
Large-Scale Price Optimization via Network Flow
In Wednesday Posters
Shinji Ito · Ryohei Fujimaki
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #189
Bayesian Optimization with Robust Bayesian Neural Networks
In Wednesday Posters
Jost Tobias Springenberg · Aaron Klein · Stefan Falkner · Frank Hutter
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #190
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
In Wednesday Posters
Vladimir Golkov · Marcin Skwark · Antonij Golkov · Alexey Dosovitskiy · Thomas Brox · Jens Meiler · Daniel Cremers
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #191
Supervised Word Mover's Distance
In Wednesday Posters
Gao Huang · Chuan Guo · Matt J Kusner · Yu Sun · Fei Sha · Kilian Weinberger
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #192
Beyond Exchangeability: The Chinese Voting Process
In Wednesday Posters
Moontae Lee · Seok Hyun Jin · David Mimno
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #193
Poisson-Gamma dynamical systems
In Wednesday Posters
Aaron Schein · Hanna Wallach · Mingyuan Zhou
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #194
Interpretable Distribution Features with Maximum Testing Power
In Wednesday Posters
Wittawat Jitkrittum · Zoltán Szabó · Kacper P Chwialkowski · Arthur Gretton
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #195
Dense Associative Memory for Pattern Recognition
In Wednesday Posters
Dmitry Krotov · John J. Hopfield
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #196
Relevant sparse codes with variational information bottleneck
In Wednesday Posters
Matthew Chalk · Olivier Marre · Gasper Tkacik
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #197
Examples are not enough, learn to criticize! Criticism for Interpretability
In Wednesday Posters
Been Kim · Sanmi Koyejo · Rajiv Khanna
[ PDF] 
Poster
Wed Dec 07 09:00 AM -- 12:30 PM (PST) @ Area 5+6+7+8 #198
Showing versus doing: Teaching by demonstration
In Wednesday Posters
Mark Ho · Michael Littman · James MacGlashan · Fiery Cushman · Joe Austerweil · Joe L Austerweil
[ PDF] 
Break
Wed Dec 07 10:10 AM -- 10:40 AM (PST)
Coffee Break
Break
Wed Dec 07 03:50 PM -- 04:20 PM (PST)
Coffee Break
Invited Talk
Thu Dec 08 12:00 AM -- 12:50 AM (PST) @ Area 1 + 2
Learning About the Brain: Neuroimaging and Beyond
In Invited Talks (Thu)
Irina Rish
[ Video] 
Invited Talk (Breiman Lecture)
Thu Dec 08 12:50 AM -- 01:40 AM (PST) @ Area 1 + 2
Reproducible Research: the Case of the Human Microbiome
In Invited Talks (Thu)
Susan Holmes
[ Video] 
Oral
Thu Dec 08 02:10 AM -- 02:30 AM (PST) @ Area 1 + 2
Interpretable Distribution Features with Maximum Testing Power
In Interpretable Models
Wittawat Jitkrittum · Zoltán Szabó · Kacper P Chwialkowski · Arthur Gretton
[ Video] 
Oral
Thu Dec 08 02:10 AM -- 02:30 AM (PST) @ Area 3
Showing versus doing: Teaching by demonstration
In Neuroscience/Cognitive
Mark Ho · Michael Littman · James MacGlashan · Fiery Cushman · Joe L Austerweil
[ Video] 
Oral
Thu Dec 08 02:30 AM -- 02:50 AM (PST) @ Area 1 + 2
Examples are not enough, learn to criticize! Criticism for Interpretability
In Interpretable Models
Been Kim · Sanmi Koyejo · Rajiv Khanna
[ Video] 
Oral
Thu Dec 08 02:30 AM -- 02:50 AM (PST) @ Area 3
Relevant sparse codes with variational information bottleneck
In Neuroscience/Cognitive
Matthew Chalk · Olivier Marre · Gasper Tkacik
[ Video] 
Oral
Thu Dec 08 02:50 AM -- 03:10 AM (PST) @ Area 3
Dense Associative Memory for Pattern Recognition
In Neuroscience/Cognitive
Dmitry Krotov · John J. Hopfield
[ Video] 
Symposium
Thu Dec 08 05:00 AM -- 12:30 PM (PST) @ Area 1 + 2
Deep Learning Symposium
In Symposia
Yoshua Bengio · Yann LeCun · Navdeep Jaitly · Roger Grosse
[ Video]  [ Video 1]  [ Video 2] 
Symposium
Thu Dec 08 05:00 AM -- 12:30 PM (PST) @ 111 + 112
Machine Learning and the Law
In Symposia
Adrian Weller · Thomas D. Grant · Conrad McDonnell · Jat Singh
Symposium
Thu Dec 08 05:00 AM -- 12:30 PM (PST) @ Area 3
Recurrent Neural Networks and Other Machines that Learn Algorithms
In Symposia
Jürgen Schmidhuber · Sepp Hochreiter · Alex Graves · Rupesh K Srivastava
[ Video 1]  [ Video 2]  [ Video 3] 
Break
Thu Dec 08 10:40 AM -- 11:10 AM (PST)
Coffee Break
Break
Thu Dec 08 04:00 PM -- 04:30 PM (PST)
Coffee Break
In Symposia
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Hilton Diag. Mar, Blrm. C
Intuitive Physics
In Friday Workshops
Adam Lerer · Jiajun Wu · Josh Tenenbaum · Emmanuel Dupoux · Rob Fergus
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ AC Barcelona, Sagrada Familia
Interpretable Machine Learning for Complex Systems
In Friday Workshops
Andrew Wilson · Been Kim · William Herlands
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Area 5 + 6
Nonconvex Optimization for Machine Learning: Theory and Practice
In Friday Workshops
Hossein Mobahi · Anima Anandkumar · Percy Liang · Stefanie Jegelka · Anna Choromanska
[ Video] 
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 114
Representation Learning in Artificial and Biological Neural Networks
In Friday Workshops
Leila Wehbe · Marcel Van Gerven · Moritz Grosse-Wentrup · Irina Rish · Brian Murphy · Georg Langs · Guillermo Cecchi · Anwar O Nunez-Elizalde
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 211
Brains and Bits: Neuroscience meets Machine Learning
In Friday Workshops
Allie Fletcher · Eva Dyer · Jascha Sohl-Dickstein · Joshua T Vogelstein · Konrad Koerding · Jakob H Macke
[ Video] 
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Hilton Diag. Mar, Blrm. B
Cognitive Computation: Integrating Neural and Symbolic Approaches
In Friday Workshops
Tarek R. Besold · Antoine Bordes · Greg Wayne · Artur Garcez
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 116
Machine Learning for Health
In Friday Workshops
Uri Shalit · Marzyeh Ghassemi · Jason Fries · Rajesh Ranganath · THEOFANIS Karaletsos · David Kale · Peter Schulam · Madalina Fiterau
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 129 + 130
Challenges in Machine Learning: Gaming and Education
In Friday Workshops
Isabelle Guyon · Evelyne Viegas · Balázs Kégl · Ben Hamner · Sergio Escalera
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Area 2
Learning in High Dimensions with Structure
In Friday Workshops
Nikhil Rao · Prateek Jain · Hsiang-Fu Yu · Ming Yuan · Francis Bach
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 113
Reliable Machine Learning in the Wild
In Friday Workshops
Dylan Hadfield-Menell · Adrian Weller · David Duvenaud · Jacob Steinhardt · Percy Liang
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Area 7 + 8
Efficient Methods for Deep Neural Networks
In Friday Workshops
Mohammad Rastegari · Matthieu Courbariaux
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Area 1
Deep Reinforcement Learning
In Friday Workshops
David Silver · Satinder Singh · Pieter Abbeel · Peter Chen
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 122 + 123
Adaptive Data Analysis
In Friday Workshops
Vitaly Feldman · Aaditya Ramdas · Aaron Roth · Adam Smith
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 112
Advances in Approximate Bayesian Inference
In Friday Workshops
Tamara Broderick · Stephan Mandt · James McInerney · Dustin Tran · David Blei · Kevin Murphy · Andrew Gelman · Michael I Jordan
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ AC Barcelona Hotel - Barcelona Room
Practical Bayesian Nonparametrics
In Friday Workshops
Nick Foti · Tamara Broderick · Trevor Campbell · Mike Hughes · Jeff Miller · Aaron Schein · Sinead Williamson · Yanxun Xu
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 127 + 128
Imperfect Decision Makers: Admitting Real-World Rationality
In Friday Workshops
Miroslav Karny · David H Wolpert · David Rios Insua · Tatiana V. Guy
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 212
Machine Intelligence @ NIPS
In Friday Workshops
Tomas Mikolov · Baroni Marco · Armand Joulin · Germán Kruszewski · Angeliki Lazaridou · Klemen Simonic
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 131 + 132
Private Multi-Party Machine Learning
In Friday Workshops
Borja Balle · Aurélien Bellet · David Evans · Adrià Gascón
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 120 + 121
Crowdsourcing and Machine Learning
In Friday Workshops
Adish Singla · Rafael Frongillo · Matteo Venanzi
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 115
3D Deep Learning
In Friday Workshops
Fisher Yu · Joseph Lim · Matt D Fisher · Qixing Huang · Jianxiong Xiao
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Area 3
Adversarial Training
In Friday Workshops
David Lopez-Paz · Leon Bottou · Alec Radford
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Hilton Diag. Mar, Blrm. A
The Future of Interactive Machine Learning
In Friday Workshops
Kory Mathewson · Kaushik Subramanian · Mark Ho · Robert Loftin · Joe L Austerweil · Anna Harutyunyan · Doina Precup · Layla El Asri · Matthew Gombolay · Jerry Zhu · Sonia Chernova · Charles Isbell · Patrick M Pilarski · Weng-Keen Wong · Manuela Veloso · Julie A Shah · Matthew Taylor · Brenna Argall · Michael Littman
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 124 + 125
Machine Learning for Intelligent Transportation Systems
In Friday Workshops
Li Erran Li · Trevor Darrell
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 111
Extreme Classification: Multi-class and Multi-label Learning in Extremely Large Label Spaces
In Friday Workshops
Moustapha Cisse · Manik Varma · Samy Bengio
[ Video] 
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 117
Time Series Workshop
In Friday Workshops
Oren Anava · Marco Cuturi · Azadeh Khaleghi · Vitaly Kuznetsov · Sasha Rakhlin
Workshop
Thu Dec 08 11:00 PM -- 09:30 AM (PST) @ Room 133 + 134
Learning, Inference and Control of Multi-Agent Systems
In Friday Workshops
Thore Graepel · Marc Lanctot · Joel Leibo · Guy Lever · Janusz Marecki · Frans Oliehoek · Karl Tuyls · Vicky Holgate
Workshop
Fri Dec 09 03:00 AM -- 05:00 AM (PST) @ VIP Room
People and machines: Public views on machine learning, and what this means for machine learning researchers
In Friday Workshops
Susannah Odell · Peter Donnelly · Jessica Montgomery · Sabine Hauert · Zoubin Ghahramani · Katherine Gorman
Workshop
Fri Dec 09 05:30 AM -- 09:30 AM (PST) @ VIP Room
Neurorobotics: A Chance for New Ideas, Algorithms and Approaches
In Friday Workshops
Elmar Rueckert · Martin Riedmiller
Break
Fri Dec 09 10:30 AM -- 11:00 AM (PST)
Coffee Break
Break
Fri Dec 09 03:00 PM -- 03:30 PM (PST)
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Area 3
Deep Learning for Action and Interaction
In Saturday Workshops
Chelsea Finn · Raia Hadsell · David Held · Sergey Levine · Percy Liang
[ Video] 
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 127 + 128
Constructive Machine Learning
In Saturday Workshops
Fabrizio Costa · Thomas Gärtner · Andrea Passerini · Francois Pachet
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Hilton Diag. Mar, Blrm. B
Machine Learning for Spatiotemporal Forecasting
In Saturday Workshops
Florin Popescu · Sergio Escalera · Xavier Baró · Stephane Ayache · Isabelle Guyon
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 113
Neural Abstract Machines & Program Induction
In Saturday Workshops
Matko Bošnjak · Nando de Freitas · Tejas Kulkarni · Arvind Neelakantan · Scott E Reed · Sebastian Riedel · Tim Rocktäschel
[ Video] 
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 120 + 121
Adaptive and Scalable Nonparametric Methods in Machine Learning
In Saturday Workshops
Aaditya Ramdas · Arthur Gretton · Bharath Sriperumbudur · Han Liu · John Lafferty · Samory Kpotufe · Zoltán Szabó
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 111
Large Scale Computer Vision Systems
In Saturday Workshops
Manohar Paluri · Lorenzo Torresani · Gal Chechik · Dario Garcia · Du Tran
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Area 2
Optimizing the Optimizers
In Saturday Workshops
Maren Mahsereci · Alex Davies · Philipp Hennig
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Area 1
Bayesian Deep Learning
In Saturday Workshops
Yarin Gal · Christos Louizos · Zoubin Ghahramani · Kevin Murphy · Max Welling
[ Video] 
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 114
Towards an Artificial Intelligence for Data Science
In Saturday Workshops
Charles Sutton · James Geddes · Zoubin Ghahramani · Padhraic Smyth · Chris Williams
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 212
Machine Learning in Computational Biology
In Saturday Workshops
Gerald Quon · Sara Mostafavi · James Y Zou · Barbara Engelhardt · Oliver Stegle · Nicolo Fusi
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 133 + 134
"What If?" Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems
In Saturday Workshops
Ricardo Silva · John Shawe-Taylor · Adith Swaminathan · Thorsten Joachims
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 131 + 132
Connectomics II: Opportunities and Challenges for Machine Learning
In Saturday Workshops
Viren Jain · Srini C Turaga
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 112
OPT 2016: Optimization for Machine Learning
In Saturday Workshops
Suvrit Sra · Francis Bach · Sashank J. Reddi · Niao He
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ VIP Room
Neurorobotics: A Chance for New Ideas, Algorithms and Approaches (2nd day)
In Friday Workshops
Elmar Rueckert · Martin Riedmiller
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 117
Bayesian Optimization: Black-box Optimization and Beyond
In Saturday Workshops
Roberto Calandra · Bobak Shahriari · Javier Gonzalez · Frank Hutter · Ryan Adams
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 211
Brains and Bits: Neuroscience meets Machine Learning (2nd day)
In Friday Workshops
Alyson Fletcher · Eva Dyer · Jascha Sohl-Dickstein · Joshua T Vogelstein · Konrad Koerding · Jakob H Macke
[ Video] 
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 116
Machine Learning Systems
In Saturday Workshops
Aparna Lakshmiratan · Li Erran Li · Siddhartha Sen · Sarah Bird · Hussein Mehanna
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Area 5 + 6
Learning with Tensors: Why Now and How?
In Saturday Workshops
Anima Anandkumar · Rong Ge · Yan Liu · Maximilian Nickel · Rose Yu
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Area 7 + 8
Continual Learning and Deep Networks
In Saturday Workshops
Razvan Pascanu · Mark Ring · Tom Schaul
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Hilton Diag. Mar, Blrm. A
End-to-end Learning for Speech and Audio Processing
In Saturday Workshops
John Hershey · Philemon Brakel
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 115
The Future of Gradient-Based Machine Learning Software
In Saturday Workshops
Alex Wiltschko · Zachary DeVito · Frederic Bastien · Pascal Lamblin
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 122 + 123
Computing with Spikes
In Saturday Workshops
Sander M Bohte · Thomas Nowotny · Cristina Savin · Davide Zambrano
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Room 129 + 130
Machine Learning for Education
In Saturday Workshops
Richard Baraniuk · Jiquan Ngiam · Christoph Studer · Phillip Grimaldi · Andrew Lan
Workshop
Fri Dec 09 11:00 PM -- 09:30 AM (PST) @ Hilton Diag. Mar, Blrm. C
Let's Discuss: Learning Methods for Dialogue
In Saturday Workshops
Hal Daumé III · Paul Mineiro · Amanda Stent · Jason E Weston
Break
Sat Dec 10 10:30 AM -- 11:00 AM (PST)
Coffee Break
Break
Sat Dec 10 03:00 PM -- 03:30 PM (PST)
Coffee Break
Break
Sat Dec 10 06:30 PM -- 09:00 PM (PST) @ Level P0 foyer
Tapas Reception