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Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #1
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li · Suvrit Sra · Stefanie Jegelka
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #2
Unsupervised Learning of 3D Structure from Images
Danilo Jimenez Rezende · S. M. Ali Eslami · Shakir Mohamed · Peter Battaglia · Max Jaderberg · Nicolas Heess
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #3
The Multiple Quantile Graphical Model
Alnur Ali · J. Zico Kolter · Ryan J Tibshirani
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #4
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
Bo Wang · Junjie Zhu · Armin Pourshafeie · Oana Ursu · Serafim Batzoglou · Anshul Kundaje
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #5
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Yizhe Zhang · Xiangyu Wang · Changyou Chen · Ricardo Henao · Kai Fan · Lawrence Carin
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #6
Differential Privacy without Sensitivity
Kentaro Minami · HItomi Arai · Issei Sato · Hiroshi Nakagawa
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #7
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain
Timothy Rubin · Oluwasanmi Koyejo · Michael Jones · Tal Yarkoni
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #8
Kronecker Determinantal Point Processes
Zelda E. Mariet · Suvrit Sra
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #9
Variance Reduction in Stochastic Gradient Langevin Dynamics
Kumar Avinava Dubey · Sashank J. Reddi · Sinead A Williamson · Barnabas Poczos · Alexander J Smola · Eric P Xing
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #10
Online Pricing with Strategic and Patient Buyers
Michal Feldman · Tomer Koren · Roi Livni · Yishay Mansour · Aviv Zohar
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #11
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
Zeyuan Allen-Zhu · Yang Yuan · Karthik Sridharan
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #12
Clustering Signed Networks with the Geometric Mean of Laplacians
Pedro Mercado · Francesco Tudisco · Matthias Hein
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #13
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Pan Zhang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #14
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Xinchen Yan · Jimei Yang · Ersin Yumer · Yijie Guo · Honglak Lee
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #15
Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard · Quentin Cormier · Kevin Canini · Maya Gupta
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #16
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li · Yining Wang · Aarti Singh · Yevgeniy Vorobeychik
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #17
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack Rae · Jonathan J Hunt · Ivo Danihelka · Timothy Harley · Andrew W Senior · Gregory Wayne · Alex Graves · Tim Lillicrap
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #18
Optimal Architectures in a Solvable Model of Deep Networks
Jonathan Kadmon · Haim Sompolinsky
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #19
Scalable Adaptive Stochastic Optimization Using Random Projections
Gabriel Krummenacher · Brian McWilliams · Yannic Kilcher · Joachim M Buhmann · Nicolai Meinshausen
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #20
Spectral Learning of Dynamic Systems from Nonequilibrium Data
Hao Wu · Frank Noe
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #21
Local Minimax Complexity of Stochastic Convex Optimization
sabyasachi chatterjee · John C Duchi · John Lafferty · Yuancheng Zhu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #22
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Yarin Gal · Zoubin Ghahramani
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #23
Brains on Beats
Umut Güçlü · Jordy Thielen · Michael Hanke · Marcel van Gerven · Marcel A. J. van Gerven
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #24
A Communication-Efficient Parallel Algorithm for Decision Tree
Qi Meng · Guolin Ke · Taifeng Wang · Wei Chen · Qiwei Ye · Zhi-Ming Ma · Tieyan Liu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #25
Leveraging Sparsity for Efficient Submodular Data Summarization
Erik Lindgren · Shanshan Wu · Alexandros Dimakis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #26
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction
Jacob Steinhardt · Gregory Valiant · Moses Charikar
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #27
Designing smoothing functions for improved worst-case competitive ratio in online optimization
Reza Eghbali · Maryam Fazel
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #28
The Forget-me-not Process
Kieran Milan · Joel Veness · James Kirkpatrick · Michael Bowling · Anna Koop · Demis Hassabis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #29
Generating Videos with Scene Dynamics
Carl Vondrick · Hamed Pirsiavash · Antonio Torralba
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #30
The Robustness of Estimator Composition
Pingfan Tang · Jeff M Phillips
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #31
Improved Deep Metric Learning with Multi-class N-pair Loss Objective
Kihyuk Sohn
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #32
Preference Completion from Partial Rankings
Suriya Gunasekar · Oluwasanmi Koyejo · Joydeep Ghosh
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #33
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny · Robert B Gramacy · Stefan Wild · Sebastien Le Digabel
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #34
Privacy Odometers and Filters: Pay-as-you-Go Composition
Ryan M Rogers · Salil Vadhan · Aaron Roth · Jonathan Ullman
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #35
Large Margin Discriminant Dimensionality Reduction in Prediction Space
Mohammad Saberian · Jose Costa Pereira · Nuno Nvasconcelos · Can Xu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #36
Tight Complexity Bounds for Optimizing Composite Objectives
Blake E Woodworth · Nati Srebro
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #37
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Noah Apthorpe · Alexander Riordan · Robert Aguilar · Jan Homann · Yi Gu · David Tank · H. Sebastian Seung
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #38
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D Kulkarni · Karthik Narasimhan · Ardavan Saeedi · Josh Tenenbaum
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #39
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord · Nal Kalchbrenner · Lasse Espeholt · koray kavukcuoglu · Oriol Vinyals · Alex Graves
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #40
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Hao Wang · Xingjian SHI · Dit-Yan Yeung
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #41
Long-term Causal Effects via Behavioral Game Theory
Panagiotis Toulis · David C Parkes
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #42
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov · Aizhan Ibraimova · Dmitry P Vetrov · Pushmeet Kohli
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #43
A Probabilistic Programming Approach To Probabilistic Data Analysis
Feras Saad · Vikash K Mansinghka
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #44
Learning Bayesian networks with ancestral constraints
Eunice Yuh-Jie Chen · Yujia Shen · Arthur Choi · Adnan Darwiche
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #45
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
Gang Wang · Georgios Giannakis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #46
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed Ibrahim · Mihaela Van Der Schaar
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #47
Structure-Blind Signal Recovery
Dmitry Ostrovsky · Zaid Harchaoui · Anatoli Juditsky · Arkadi S Nemirovski
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #48
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer · Axel Pinz · Richard Wildes
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #49
CMA-ES with Optimal Covariance Update and Storage Complexity
Oswin Krause · Dídac Rodríguez Arbonès · Christian Igel
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #50
Latent Attention For If-Then Program Synthesis
Chang Liu · Xinyun Chen · Eui Chul Shin · Mingcheng Chen · Dawn Song
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #51
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
Damek Davis · Brent Edmunds · Madeleine Udell
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #52
An Efficient Streaming Algorithm for the Submodular Cover Problem
Ashkan Norouzi-Fard · Abbas Bazzi · Ilija Bogunovic · Marwa El Halabi · Ya-Ping Hsieh · Volkan Cevher
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #53
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami · Nicolas Heess · Theophane Weber · Yuval Tassa · David Szepesvari · koray kavukcuoglu · Geoffrey E Hinton
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #54
An ensemble diversity approach to supervised binary hashing
Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #55
End-to-End Goal-Driven Web Navigation
Rodrigo Nogueira · Kyunghyun Cho
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #56
The Power of Adaptivity in Identifying Statistical Alternatives
Kevin Jamieson · Daniel Haas · Benjamin Recht
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #57
A Probabilistic Framework for Deep Learning
Ankit B Patel · Minh Tan Nguyen · Richard Baraniuk
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #58
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Ilya Tolstikhin · Bharath K. Sriperumbudur · Prof. Bernhard Schölkopf
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #59
Adaptive Neural Compilation
Rudy R Bunel · Alban Desmaison · Pawan K Mudigonda · Pushmeet Kohli · Philip Torr
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #60
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff · Antti Rasmus · Mathias Berglund · Tele Hao · Harri Valpola · Jürgen Schmidhuber
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #61
A scaled Bregman theorem with applications
Richard Nock · Aditya Menon · Cheng Soon Ong
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #62
Learning feed-forward one-shot learners
Luca Bertinetto · João F. Henriques · Jack Valmadre · Philip Torr · Andrea Vedaldi
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #63
Error Analysis of Generalized Nyström Kernel Regression
Hong Chen · Haifeng Xia · Heng Huang · Weidong Cai
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #64
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao · Sewoong Oh · Pramod Viswanath
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #65
Asynchronous Parallel Greedy Coordinate Descent
Yang You · Xiangru Lian · Ji Liu · Hsiang-Fu Yu · Inderjit S Dhillon · James Demmel · Cho-Jui Hsieh
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #66
Structured Prediction Theory Based on Factor Graph Complexity
Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #67
Parameter Learning for Log-supermodular Distributions
Tatiana Shpakova · Francis Bach
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #68
Exact Recovery of Hard Thresholding Pursuit
Xiaotong Yuan · Ping Li · Tong Zhang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #69
New Liftable Classes for First-Order Probabilistic Inference
Seyed Mehran Kazemi · Angelika Kimmig · Guy Van den Broeck · David Poole
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #70
Variational Inference in Mixed Probabilistic Submodular Models
Josip Djolonga · Sebastian Tschiatschek · Andreas Krause
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #71
Unifying Count-Based Exploration and Intrinsic Motivation
Marc Bellemare · Sriram Srinivasan · Georg Ostrovski · Tom Schaul · David Saxton · Remi Munos
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #72
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods
Andrej Risteski · Yuanzhi Li
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #73
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
Jingwei Liang · Jalal Fadili · Gabriel Peyré
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #74
Fast and Flexible Monotonic Functions with Ensembles of Lattices
Mahdi Milani Fard · Kevin Canini · Andrew Cotter · Jan Pfeifer · Maya Gupta
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #75
Architectural Complexity Measures of Recurrent Neural Networks
Saizheng Zhang · Yuhuai Wu · Tong Che · Zhouhan Lin · Roland Memisevic · Ruslan Salakhutdinov · Yoshua Bengio
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #76
Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky · Kwabena A Boahen
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #77
Split LBI: An Iterative Regularization Path with Structural Sparsity
Chendi Huang · Xinwei Sun · Jiechao Xiong · Yuan Yao
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #78
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu · Zhe Gan · Ricardo Henao · Xin Yuan · Chunyuan Li · Andrew Stevens · Lawrence Carin
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #79
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates
Yuanzhi Li · Yingyu Liang · Andrej Risteski
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #80
Proximal Deep Structured Models
Shenlong Wang · Sanja Fidler · Raquel Urtasun
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #81
Safe Policy Improvement by Minimizing Robust Baseline Regret
Mohammad Ghavamzadeh · Marek Petrik · Yinlam Chow
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #82
A Pseudo-Bayesian Algorithm for Robust PCA
Tae-Hyun Oh · Yasuyuki Matsushita · In Kweon · David Wipf
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #83
Learning values across many orders of magnitude
Hado van Hasselt · Arthur Guez · Arthur Guez · Matteo Hessel · Volodymyr Mnih · David Silver
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #84
Single Pass PCA of Matrix Products
Shanshan Wu · Srinadh Bhojanapalli · Sujay Sanghavi · Alexandros Dimakis
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #85
Convolutional Neural Fabrics
Shreyas Saxena · Jakob Verbeek
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #86
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
Xinghua Lou · Ken Kansky · Wolfgang Lehrach · CC Laan · Bhaskara Marthi · D. Phoenix · Dileep George
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #87
Mixed vine copulas as joint models of spike counts and local field potentials
Arno Onken · Stefano Panzeri
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #88
Optimal Black-Box Reductions Between Optimization Objectives
Zeyuan Allen-Zhu · Elad Hazan
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #89
Dialog-based Language Learning
Jason E Weston
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #90
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Wei-Shou Hsu · Pascal Poupart
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #91
A Sparse Interactive Model for Matrix Completion with Side Information
Jin Lu · Guannan Liang · Jiangwen Sun · Jinbo Bi
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #92
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic · Jonathan Scarlett · Andreas Krause · Volkan Cevher
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #93
On Mixtures of Markov Chains
Rishi Gupta · Ravi Kumar · Sergei Vassilvitskii
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #94
High Dimensional Structured Superposition Models
Qilong Gu · Arindam Banerjee
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #95
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Lalit Jain · Kevin Jamieson · Rob Nowak
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #96
What Makes Objects Similar: A Unified Multi-Metric Learning Approach
Han-Jia Ye · De-Chuan Zhan · Xue-Min Si · Yuan Jiang · Zhi-Hua Zhou
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #97
Unsupervised Learning of Spoken Language with Visual Context
David Harwath · Antonio Torralba · James Glass
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #98
Cyclades: Conflict-free Asynchronous Machine Learning
Xinghao Pan · Maximilian Lam · Stephen Tu · Dimitris Papailiopoulos · Ce Zhang · Michael I Jordan · Kannan Ramchandran · Christopher Ré · Benjamin Recht
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #99
Disease Trajectory Maps
Peter Schulam · Raman Arora
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #100
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios · Iain Murray
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #101
Stochastic Structured Prediction under Bandit Feedback
Artem Sokolov · Julia Kreutzer · Stefan Riezler · Christopher Lo
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #102
Learning under uncertainty: a comparison between R-W and Bayesian approach
He Huang · Martin Paulus
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #103
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
Taiji Suzuki · Heishiro Kanagawa · Hayato Kobayashi · Nobuyuki Shimizu · Yukihiro Tagami
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #104
On the Recursive Teaching Dimension of VC Classes
Xi Chen · Xi Chen · Yu Cheng · Bo Tang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #105
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
Yossi Arjevani · Ohad Shamir
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #106
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin · Botond Cseke · Ryota Tomioka
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #107
Low-Rank Regression with Tensor Responses
Guillaume Rabusseau · Hachem Kadri
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #108
Double Thompson Sampling for Dueling Bandits
Huasen Wu · Xin Liu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #109
Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao · Evan W Archer · Liam Paninski · John Cunningham
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #110
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan · Prateek Jain
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #111
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
Liangbei Xu · Mark Davenport
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #112
Rényi Divergence Variational Inference
Yingzhen Li · Richard E Turner
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #113
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making
Himabindu Lakkaraju · Jure Leskovec
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #114
Adaptive Averaging in Accelerated Descent Dynamics
Walid Krichene · Alexandre Bayen · Peter L Bartlett
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #115
Bayesian Optimization for Probabilistic Programs
Tom Rainforth · Tuan Anh Le · Jan-Willem van de Meent · Michael A Osborne · Frank Wood
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #116
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
Weiran Wang · Jialei Wang · Dan Garber · Dan Garber · Nati Srebro
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #117
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao · Pascal Poupart · Geoffrey J Gordon
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #118
Feature-distributed sparse regression: a screen-and-clean approach
Jiyan Yang · Michael W Mahoney · Michael Saunders · Yuekai Sun
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #119
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja · Anurag Ajay · Sergey Levine · Pieter Abbeel
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #120
Swapout: Learning an ensemble of deep architectures
Saurabh Singh · Derek Hoiem · David Forsyth
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #121
Assortment Optimization Under the Mallows model
Antoine Desir · Vineet Goyal · Srikanth Jagabathula · Danny Segev
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #122
Operator Variational Inference
Rajesh Ranganath · Dustin Tran · Jaan Altosaar · David Blei
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #123
Select-and-Sample for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh · Jörg Lücke
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #124
Fast recovery from a union of subspaces
Chinmay Hegde · Piotr Indyk · Ludwig Schmidt
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #125
Ladder Variational Autoencoders
Casper Kaae Sønderby · Tapani Raiko · Lars Maaløe · Søren Kaae Sønderby · Ole Winther
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #126
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
Dehua Cheng · Richard Peng · Yan Liu · Ioakeim Perros
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #127
CRF-CNN: Modeling Structured Information in Human Pose Estimation
Xiao Chu · Wanli Ouyang · hongsheng Li · Xiaogang Wang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #128
A Consistent Regularization Approach for Structured Prediction
Carlo Ciliberto · Lorenzo Rosasco · Alessandro Rudi
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #129
Refined Lower Bounds for Adversarial Bandits
Sébastien Gerchinovitz · Tor Lattimore
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #130
Learning Deep Embeddings with Histogram Loss
Evgeniya Ustinova · Victor Lempitsky
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #131
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Yexiang Xue · zhiyuan li · Stefano Ermon · Carla P Gomes · Bart Selman
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #132
Kernel Bayesian Inference with Posterior Regularization
Yang Song · Jun Zhu · Yong Ren
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #133
Learning Influence Functions from Incomplete Observations
Xinran He · Ke Xu · David Kempe · Yan Liu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #134
General Tensor Spectral Co-clustering for Higher-Order Data
Tao Wu · Austin R Benson · David Gleich
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #135
Bayesian latent structure discovery from multi-neuron recordings
Scott Linderman · Ryan P Adams · Jonathan W Pillow
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #136
Estimating the Size of a Large Network and its Communities from a Random Sample
Lin Chen · Amin Karbasi · Forrest W. Crawford
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #137
Wasserstein Training of Restricted Boltzmann Machines
Grégoire Montavon · Klaus-Robert Müller · Marco Cuturi
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #138
Deep ADMM-Net for Compressive Sensing MRI
yan yang · Jian Sun · Huibin Li · Zongben Xu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #139
Maximization of Approximately Submodular Functions
Thibaut Horel · Yaron Singer
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #140
Combining Low-Density Separators with CNNs
Yu-Xiong Wang · Martial Hebert
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #141
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #142
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
Kameron D Harris · Stefan Mihalas · Eric Shea-Brown
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #143
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu · Chengkai Zhang · Tianfan Xue · Bill Freeman · Josh Tenenbaum
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #144
Learning Sparse Gaussian Graphical Models with Overlapping Blocks
Mohammad Javad Hosseini · Su-In Lee
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #145
Multi-step learning and underlying structure in statistical models
Maia Fraser
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #146
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo · Anbang Yao · Yurong Chen
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #147
Active Nearest-Neighbor Learning in Metric Spaces
Aryeh Kontorovich · Sivan Sabato · Ruth Urner
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #148
Discriminative Gaifman Models
Mathias Niepert
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #149
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex M Lamb · Anirudh Goyal ALIAS PARTH GOYAL · Ying Zhang · Saizheng Zhang · Aaron C Courville · Yoshua Bengio
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #150
Pruning Random Forests for Prediction on a Budget
Feng Nan · Joseph Wang · Venkatesh Saligrama
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #151
Multistage Campaigning in Social Networks
Mehrdad Farajtabar · Xiaojing Ye · Sahar Harati · Le Song · Hongyuan Zha
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #152
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
Yichen Wang · Nan Du · Rakshit Trivedi · Le Song
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #153
Coordinate-wise Power Method
Qi Lei · Kai Zhong · Inderjit S Dhillon
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #154
Barzilai-Borwein Step Size for Stochastic Gradient Descent
Conghui Tan · Shiqian Ma · Yu-Hong Dai · Yuqiu Qian
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #155
Fast learning rates with heavy-tailed losses
Vu C Dinh · Lam S Ho · Binh Nguyen · Duy Nguyen
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #156
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel A Bautista · Artsiom Sanakoyeu · Ekaterina Tikhoncheva · Bjorn Ommer
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #157
Guided Policy Search via Approximate Mirror Descent
William H Montgomery · Sergey Levine
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #158
Structured Sparse Regression via Greedy Hard Thresholding
Prateek Jain · Nikhil Rao · Inderjit S Dhillon
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #159
Learning in Games: Robustness of Fast Convergence
Dylan J Foster · zhiyuan li · Thodoris Lykouris · Karthik Sridharan · Eva Tardos
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #160
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger B Grosse · Siddharth Ancha · Daniel Roy
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #161
Average-case hardness of RIP certification
Tengyao Wang · Quentin Berthet · Yaniv Plan
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #162
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
Chi Jin · Sham Kakade · Praneeth Netrapalli
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #163
Infinite Hidden Semi-Markov Modulated Interaction Point Process
matt zhang · Peng Lin · Peng Lin · Ting Guo · Yang Wang · Yang Wang · Fang Chen
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #164
Linear Contextual Bandits with Knapsacks
Shipra Agrawal · Nikhil Devanur
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #165
Selective inference for group-sparse linear models
Fan Yang · Rina Foygel Barber · Prateek Jain · John Lafferty
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #166
Deep Neural Networks with Inexact Matching for Person Re-Identification
Arulkumar Subramaniam · Moitreya Chatterjee · Anurag Mittal
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #167
Accelerating Stochastic Composition Optimization
Mengdi Wang · Ji Liu · Ethan Fang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #168
Learning Bound for Parameter Transfer Learning
Wataru Kumagai
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #169
Can Active Memory Replace Attention?
Łukasz Kaiser · Samy Bengio
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #170
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo · Yujia Li · Raquel Urtasun · Richard Zemel
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #171
Local Similarity-Aware Deep Feature Embedding
Chen Huang · Chen Change Loy · Xiaoou Tang
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #172
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #173
Single-Image Depth Perception in the Wild
Weifeng Chen · Zhao Fu · Dawei Yang · Jia Deng
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #174
Without-Replacement Sampling for Stochastic Gradient Methods
Ohad Shamir
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #174
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely · Roy Frostig · Yoram Singer
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #175
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #200
R-FCN: Object Detection via Region-based Fully Convolutional Networks
jifeng dai · Yi Li · Kaiming He · Jian Sun
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #176
Learning What and Where to Draw
Scott E Reed · Zeynep Akata · Santosh Mohan · Samuel Tenka · Bernt Schiele · Honglak Lee
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #176
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random
Ilya Shpitser
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #177
Stochastic Online AUC Maximization
Yiming Ying · Longyin Wen · Siwei Lyu
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #178
Deep Learning without Poor Local Minima
Kenji Kawaguchi
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #179
Regularized Nonlinear Acceleration
Damien Scieur · Alexandre d'Aspremont · Francis Bach
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #180
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal · Ashvin V Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #181
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans · Diederik P Kingma
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #182
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Dan Garber · Dan Garber · Ofer Meshi
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #183
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation
Emmanuel Abbe · Colin Sandon
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #184
Orthogonal Random Features
Felix X Yu · Ananda Theertha Suresh · Krzysztof M Choromanski · Daniel N Holtmann-Rice · Sanjiv Kumar
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #185
Universal Correspondence Network
Christopher B Choy · Manmohan Chandraker · JunYoung Gwak · Silvio Savarese
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #186
The Multiscale Laplacian Graph Kernel
Risi Kondor · Horace Pan
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #187
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back
Vitaly Feldman
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #188
Large-Scale Price Optimization via Network Flow
Shinji Ito · Ryohei Fujimaki
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #189
Bayesian Optimization with Robust Bayesian Neural Networks
Jost Tobias Springenberg · Aaron Klein · Stefan Falkner · Frank Hutter
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #190
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Vladimir Golkov · Marcin J Skwark · Antonij Golkov · Alexey Dosovitskiy · Thomas Brox · Jens Meiler · Daniel Cremers
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #191
Supervised Word Mover's Distance
Gao Huang · Chuan Guo · Matt J Kusner · Yu Sun · Fei Sha · Kilian Q Weinberger
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #192
Beyond Exchangeability: The Chinese Voting Process
Moontae Lee · Seok Hyun Jin · David Mimno
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #193
Poisson-Gamma dynamical systems
Aaron Schein · Hanna Wallach · Mingyuan Zhou
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #194
Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum · Zoltán Szabó · Kacper P Chwialkowski · Arthur Gretton
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #195
Dense Associative Memory for Pattern Recognition
Dmitry Krotov · John J. Hopfield
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #196
Relevant sparse codes with variational information bottleneck
Matthew Chalk · Olivier Marre · Gasper Tkacik
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #197
Examples are not enough, learn to criticize! Criticism for Interpretability
Been Kim · Oluwasanmi Koyejo · Rajiv Khanna
Poster
Wed Dec 7th 06:00 -- 09:30 PM @ Area 5+6+7+8 #198
Showing versus doing: Teaching by demonstration
Mark K Ho · Michael Littman · James MacGlashan · Fiery Cushman · Joe Austerweil · Joseph L Austerweil