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Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #1
Texture Synthesis Using Convolutional Neural Networks
Leon A Gatys · Alexander Ecker · Matthias Bethge
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #2
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
Ming Liang · Xiaolin Hu · Bo Zhang
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #3
Grammar as a Foreign Language
Oriol Vinyals · Łukasz Kaiser · Terry Koo · Slav Petrov · Ilya Sutskever · Geoffrey Hinton
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #4
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
Kisuk Lee · Aleksandar Zlateski · Vishwanathan Ashwin · H. Sebastian Seung
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #5
Generative Image Modeling Using Spatial LSTMs
Lucas Theis · Matthias Bethge
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #6
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren · Kaiming He · Ross Girshick · Jian Sun
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #7
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang · Scott E Reed · Ming-Hsuan Yang · Honglak Lee
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #8
Exploring Models and Data for Image Question Answering
Mengye Ren · Jamie Kiros · Richard Zemel
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #9
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
Haoyuan Gao · Junhua Mao · Jie Zhou · Zhiheng Huang · Lei Wang · Wei Xu
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #10
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F Stollenga · Wonmin Byeon · Marcus Liwicki · Jürgen Schmidhuber
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #11
Learning From Small Samples: An Analysis of Simple Decision Heuristics
Özgür Şimşek · Marcus Buckmann
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #12
3D Object Proposals for Accurate Object Class Detection
Xiaozhi Chen · Kaustav Kundu · Yukun Zhu · Andrew G Berneshawi · Huimin Ma · Sanja Fidler · Raquel Urtasun
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #13
The Poisson Gamma Belief Network
Mingyuan Zhou · Yulai Cong · Bo Chen
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #14
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
Danilo Bzdok · Michael Eickenberg · Olivier Grisel · Bertrand Thirion · Gael Varoquaux
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #15
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux · Yoshua Bengio · Jean-Pierre David
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #16
Learning to Transduce with Unbounded Memory
Edward Grefenstette · Karl Moritz Hermann · Mustafa Suleyman · Phil Blunsom
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #17
Spectral Representations for Convolutional Neural Networks
Oren Rippel · Jasper Snoek · Ryan Adams
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #18
A Theory of Decision Making Under Dynamic Context
Michael Shvartsman · Vaibhav Srivastava · Jonathan D Cohen
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #19
Bidirectional Recurrent Neural Networks as Generative Models
Mathias Berglund · Tapani Raiko · Mikko Honkala · Leo Kärkkäinen · Akos Vetek · Juha T Karhunen
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #20
Recognizing retinal ganglion cells in the dark
Emile Richard · Georges A Goetz · E.J. Chichilnisky
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #21
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung · Kyle Kastner · Laurent Dinh · Kratarth Goel · Aaron Courville · Yoshua Bengio
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #22
Deep Knowledge Tracing
Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas J Guibas · Jascha Sohl-Dickstein
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #23
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan · Chunyuan Li · Ricardo Henao · David Carlson · Lawrence Carin
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #24
Hidden Technical Debt in Machine Learning Systems
D. Sculley · Gary Holt · Daniel Golovin · Eugene Davydov · Todd Phillips · Dietmar Ebner · Vinay Chaudhary · Michael Young · Jean-François Crespo · Dan Dennison
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #25
Statistical Model Criticism using Kernel Two Sample Tests
James R Lloyd · Zoubin Ghahramani
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #26
Calibrated Structured Prediction
Volodymyr Kuleshov · Percy Liang
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #27
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making
Koosha Khalvati · Rajesh PN Rao
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #28
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
Scott Linderman · Matthew Johnson · Ryan Adams
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #29
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
Michael Hughes · William Stephenson · Erik Sudderth
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #30
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
Ehsan Adeli-Mosabbeb · Kim-Han Thung · Le An · Feng Shi · Dinggang Shen
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #31
Learning spatiotemporal trajectories from manifold-valued longitudinal data
Jean-Baptiste SCHIRATTI · Stéphanie ALLASSONNIERE · Olivier Colliot · Stanley DURRLEMAN
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #32
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
Minhyung Cho · Chandra Dhir · Jaehyung Lee
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #33
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
Amir Dezfouli · Edwin Bonilla
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #34
Variational Dropout and the Local Reparameterization Trick
Durk Kingma · Tim Salimans · Max Welling
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #35
Infinite Factorial Dynamical Model
Isabel Valera · Francisco Ruiz · Lennart Svensson · Fernando Perez-Cruz
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #36
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed · Danilo Jimenez Rezende
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #37
Copula variational inference
Dustin Tran · David Blei · Edo M Airoldi
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #38
Fast Second Order Stochastic Backpropagation for Variational Inference
Kai Fan · Ziteng Wang · Jeff Beck · James Kwok · Katherine Heller
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #39
Rethinking LDA: Moment Matching for Discrete ICA
Anastasia Podosinnikova · Francis Bach · Simon Lacoste-Julien
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #40
Model-Based Relative Entropy Stochastic Search
Abbas Abdolmaleki · Rudolf Lioutikov · Jan Peters · Nuno Lau · Luis Pualo Reis · Gerhard Neumann
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #41
Supervised Learning for Dynamical System Learning
Ahmed Hefny · Carlton Downey · Geoffrey Gordon
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #42
Expectation Particle Belief Propagation
Thibaut Lienart · Yee Whye Teh · Arnaud Doucet
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #43
Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #44
Tractable Learning for Complex Probability Queries
Jessa Bekker · Jesse Davis · Arthur Choi · Adnan Darwiche · Guy Van den Broeck
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #45
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah · Denny Zhou
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #46
Local Expectation Gradients for Black Box Variational Inference
Michalis Titsias · Miguel Lázaro-Gredilla
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #47
Learning with a Wasserstein Loss
Charlie Frogner · Chiyuan Zhang · Hossein Mobahi · Mauricio Araya · Tomaso Poggio
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #48
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy · Marco Cuturi
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #49
Fast and Accurate Inference of Plackett–Luce Models
Lucas Maystre · Matthias Grossglauser
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #50
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler · Christina Heinze-Deml · Jonas Peters · Nicolai Meinshausen
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #51
Learning with Relaxed Supervision
Jacob Steinhardt · Percy Liang
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #52
M-Statistic for Kernel Change-Point Detection
Shuang Li · Yao Xie · Hanjun Dai · Le Song
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #53
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper P Chwialkowski · Aaditya Ramdas · Dino Sejdinovic · Arthur Gretton
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #54
Adversarial Prediction Games for Multivariate Losses
Hong Wang · Wei Xing · Kaiser Asif · Brian Ziebart
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #55
Regressive Virtual Metric Learning
Michaël Perrot · Amaury Habrard
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #56
Halting in Random Walk Kernels
Mahito Sugiyama · Karsten Borgwardt
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #57
Rate-Agnostic (Causal) Structure Learning
Sergey Plis · David Danks · Cynthia Freeman · Vince Calhoun
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #58
Online Prediction at the Limit of Zero Temperature
Mark Herbster · Stephen Pasteris · Shaona Ghosh
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #59
Lifted Symmetry Detection and Breaking for MAP Inference
Timothy Kopp · Parag Singla · Henry Kautz
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #60
Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim · Andrew Forney · Judea Pearl
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #61
Sample Complexity Bounds for Iterative Stochastic Policy Optimization
Marin Kobilarov
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #62
Basis refinement strategies for linear value function approximation in MDPs
Gheorghe Comanici · Doina Precup · Prakash Panangaden
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #63
Probabilistic Variational Bounds for Graphical Models
Qiang Liu · John W Fisher III · Alexander Ihler
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #64
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen · Nan Ding · Lawrence Carin
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #65
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching
Xiao Li · Kannan Ramchandran
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #66
Discrete Rényi Classifiers
Meisam Razaviyayn · Farzan Farnia · David Tse
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #67
GAP Safe screening rules for sparse multi-task and multi-class models
Eugene Ndiaye · Olivier Fercoq · Alexandre Gramfort · Joseph Salmon
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #68
Decomposition Bounds for Marginal MAP
Wei Ping · Qiang Liu · Alexander Ihler
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #69
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
Kevin Scaman · Rémi Lemonnier · Nicolas Vayatis
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #70
Estimating Mixture Models via Mixtures of Polynomials
Sida Wang · Arun Tejasvi Chaganty · Percy Liang
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #71
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Eunho Yang · Aurelie C Lozano
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #72
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade · Florent Krzakala · Lenka Zdeborová
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #73
Robust PCA with compressed data
Wooseok Ha · Rina Foygel Barber
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #74
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Kai Wei · Rishabh K Iyer · Shengjie Wang · Wenruo Bai · Jeff Bilmes
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #75
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
Chao Qu · Huan Xu
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #76
A class of network models recoverable by spectral clustering
Yali Wan · Marina Meila
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #77
Monotone k-Submodular Function Maximization with Size Constraints
Naoto Ohsaka · Yuichi Yoshida
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #78
Smooth and Strong: MAP Inference with Linear Convergence
Ofer Meshi · Mehrdad Mahdavi · Alex Schwing
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #79
StopWasting My Gradients: Practical SVRG
Reza Babanezhad Harikandeh · Mohamed Osama Ahmed · Alim Virani · Mark Schmidt · Jakub Konečný · Scott Sallinen
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #80
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna · Bibaswan K Chatterjee · Raman Sankaran · Chiranjib Bhattacharyya · Francis Bach
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #81
Differentially Private Learning of Structured Discrete Distributions
Ilias Diakonikolas · Moritz Hardt · Ludwig Schmidt
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #82
Robust Portfolio Optimization
Huitong Qiu · Fang Han · Han Liu · Brian Caffo
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #83
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi · Leslie Kaelbling · Tomás Lozano-Pérez
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #84
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
Ahmed Alaoui · Michael W Mahoney
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #85
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré · Christopher Ré
Poster
Mon Dec 07 04:00 PM (PST) @ 210 C #86
Beyond Convexity: Stochastic Quasi-Convex Optimization
Elad Hazan · Kfir Y. Levy · Shai Shalev-Shwartz
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #87
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
Andrea Montanari · Daniel Reichman · Ofer Zeitouni
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #88
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi · Constantine Caramanis
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #89
Black-box optimization of noisy functions with unknown smoothness
Jean-Bastien Grill · Michal Valko · Remi Munos · Remi Munos
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #90
Combinatorial Cascading Bandits
Branislav Kveton · Zheng Wen · Azin Ashkan · Csaba Szepesvari
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #91
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
Tom Goldstein · Min Li · Xiaoming Yuan
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #92
Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma · Avi Wigderson
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #93
Online Gradient Boosting
Alina Beygelzimer · Elad Hazan · Satyen Kale · Haipeng Luo
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #94
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
Martin Slawski · Ping Li · Matthias Hein
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #95
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
Rafael Frongillo · Mark Reid
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #96
Accelerated Proximal Gradient Methods for Nonconvex Programming
Huan Li · Zhouchen Lin
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #97
Nearly Optimal Private LASSO
Kunal Talwar · Abhradeep Guha Thakurta · Li Zhang
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #98
Minimax Time Series Prediction
Wouter Koolen · Alan Malek · Peter Bartlett · Yasin Abbasi Yadkori
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #99
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani · Ohad Shamir
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #100
Explore no more: Improved high-probability regret bounds for non-stochastic bandits
Gergely Neu
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #101
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
Tuo Zhao · Zhaoran Wang · Han Liu
Poster
Mon Dec 07 04:00 PM -- 08:59 PM (PST) @ 210 C #102
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
Xia Qu · Prashant Doshi