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Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #1
Texture Synthesis Using Convolutional Neural Networks
In Poster Session
Leon A Gatys · Alexander Ecker · Matthias Bethge
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #2
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
In Poster Session
Ming Liang · Xiaolin Hu · Bo Zhang
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #3
Grammar as a Foreign Language
In Poster Session
Oriol Vinyals · Łukasz Kaiser · Terry Koo · Slav Petrov · Ilya Sutskever · Geoffrey Hinton
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #4
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
In Poster Session
Kisuk Lee · Aleksandar Zlateski · Vishwanathan Ashwin · H. Sebastian Seung
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #5
Generative Image Modeling Using Spatial LSTMs
In Poster Session
Lucas Theis · Matthias Bethge
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #6
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
In Poster Session
Shaoqing Ren · Kaiming He · Ross Girshick · Jian Sun
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #7
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
In Poster Session
Jimei Yang · Scott E Reed · Ming-Hsuan Yang · Honglak Lee
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #8
Exploring Models and Data for Image Question Answering
In Poster Session
Mengye Ren · Jamie Kiros · Richard Zemel
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #9
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
In Poster Session
Haoyuan Gao · Junhua Mao · Jie Zhou · Zhiheng Huang · Lei Wang · Wei Xu
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #10
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
In Poster Session
Marijn F Stollenga · Wonmin Byeon · Marcus Liwicki · Jürgen Schmidhuber
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #11
Learning From Small Samples: An Analysis of Simple Decision Heuristics
In Poster Session
Özgür Şimşek · Marcus Buckmann
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #12
3D Object Proposals for Accurate Object Class Detection
In Poster Session
Xiaozhi Chen · Kaustav Kundu · Yukun Zhu · Andrew G Berneshawi · Huimin Ma · Sanja Fidler · Raquel Urtasun
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #13
The Poisson Gamma Belief Network
In Poster Session
Mingyuan Zhou · Yulai Cong · Bo Chen
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #14
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
In Poster Session
Danilo Bzdok · Michael Eickenberg · Olivier Grisel · Bertrand Thirion · Gael Varoquaux
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #15
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
In Poster Session
Matthieu Courbariaux · Yoshua Bengio · Jean-Pierre David
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #16
Learning to Transduce with Unbounded Memory
In Poster Session
Edward Grefenstette · Karl Moritz Hermann · Mustafa Suleyman · Phil Blunsom
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #17
Spectral Representations for Convolutional Neural Networks
In Poster Session
Oren Rippel · Jasper Snoek · Ryan Adams
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #18
A Theory of Decision Making Under Dynamic Context
In Poster Session
Michael Shvartsman · Vaibhav Srivastava · Jonathan D Cohen
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #19
Bidirectional Recurrent Neural Networks as Generative Models
In Poster Session
Mathias Berglund · Tapani Raiko · Mikko Honkala · Leo Kärkkäinen · Akos Vetek · Juha T Karhunen
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #20
Recognizing retinal ganglion cells in the dark
In Poster Session
Emile Richard · Georges A Goetz · E.J. Chichilnisky
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #21
A Recurrent Latent Variable Model for Sequential Data
In Poster Session
Junyoung Chung · Kyle Kastner · Laurent Dinh · Kratarth Goel · Aaron Courville · Yoshua Bengio
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #22
Deep Knowledge Tracing
In Poster Session
Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas J Guibas · Jascha Sohl-Dickstein
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #23
Deep Temporal Sigmoid Belief Networks for Sequence Modeling
In Poster Session
Zhe Gan · Chunyuan Li · Ricardo Henao · David Carlson · Lawrence Carin
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #24
Hidden Technical Debt in Machine Learning Systems
In Poster Session
D. Sculley · Gary Holt · Daniel Golovin · Eugene Davydov · Todd Phillips · Dietmar Ebner · Vinay Chaudhary · Michael Young · Jean-François Crespo · Dan Dennison
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #25
Statistical Model Criticism using Kernel Two Sample Tests
In Poster Session
James R Lloyd · Zoubin Ghahramani
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #26
Calibrated Structured Prediction
In Poster Session
Volodymyr Kuleshov · Percy Liang
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #27
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making
In Poster Session
Koosha Khalvati · Rajesh PN Rao
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #28
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
In Poster Session
Scott Linderman · Matthew Johnson · Ryan Adams
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #29
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
In Poster Session
Michael Hughes · William Stephenson · Erik Sudderth
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #30
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
In Poster Session
Ehsan Adeli-Mosabbeb · Kim-Han Thung · Le An · Feng Shi · Dinggang Shen
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #31
Learning spatiotemporal trajectories from manifold-valued longitudinal data
In Poster Session
Jean-Baptiste SCHIRATTI · Stéphanie ALLASSONNIERE · Olivier Colliot · Stanley DURRLEMAN
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #32
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
In Poster Session
Minhyung Cho · Chandra Dhir · Jaehyung Lee
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #33
Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
In Poster Session
Amir Dezfouli · Edwin Bonilla
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #34
Variational Dropout and the Local Reparameterization Trick
In Poster Session
Durk Kingma · Tim Salimans · Max Welling
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #35
Infinite Factorial Dynamical Model
In Poster Session
Isabel Valera · Francisco Ruiz · Lennart Svensson · Fernando Perez-Cruz
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #36
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
In Poster Session
Shakir Mohamed · Danilo Jimenez Rezende
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #37
Copula variational inference
In Poster Session
Dustin Tran · David Blei · Edo M Airoldi
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #38
Fast Second Order Stochastic Backpropagation for Variational Inference
In Poster Session
Kai Fan · Ziteng Wang · Jeff Beck · James Kwok · Katherine Heller
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #39
Rethinking LDA: Moment Matching for Discrete ICA
In Poster Session
Anastasia Podosinnikova · Francis Bach · Simon Lacoste-Julien
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #40
Model-Based Relative Entropy Stochastic Search
In Poster Session
Abbas Abdolmaleki · Rudolf Lioutikov · Jan Peters · Nuno Lau · Luis Pualo Reis · Gerhard Neumann
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #41
Supervised Learning for Dynamical System Learning
In Poster Session
Ahmed Hefny · Carlton Downey · Geoffrey Gordon
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #42
Expectation Particle Belief Propagation
In Poster Session
Thibaut Lienart · Yee Whye Teh · Arnaud Doucet
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #43
Embedding Inference for Structured Multilabel Prediction
In Poster Session
Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #44
Tractable Learning for Complex Probability Queries
In Poster Session
Jessa Bekker · Jesse Davis · Arthur Choi · Adnan Darwiche · Guy Van den Broeck
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #45
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
In Poster Session
Nihar Bhadresh Shah · Denny Zhou
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #46
Local Expectation Gradients for Black Box Variational Inference
In Poster Session
Michalis Titsias · Miguel Lázaro-Gredilla
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #47
Learning with a Wasserstein Loss
In Poster Session
Charlie Frogner · Chiyuan Zhang · Hossein Mobahi · Mauricio Araya · Tomaso Poggio
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #48
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
In Poster Session
Vivien Seguy · Marco Cuturi
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #49
Fast and Accurate Inference of Plackett–Luce Models
In Poster Session
Lucas Maystre · Matthias Grossglauser
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #50
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
In Poster Session
Dominik Rothenhäusler · Christina Heinze-Deml · Jonas Peters · Nicolai Meinshausen
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #51
Learning with Relaxed Supervision
In Poster Session
Jacob Steinhardt · Percy Liang
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #52
M-Statistic for Kernel Change-Point Detection
In Poster Session
Shuang Li · Yao Xie · Hanjun Dai · Le Song
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #53
Fast Two-Sample Testing with Analytic Representations of Probability Measures
In Poster Session
Kacper P Chwialkowski · Aaditya Ramdas · Dino Sejdinovic · Arthur Gretton
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #54
Adversarial Prediction Games for Multivariate Losses
In Poster Session
Hong Wang · Wei Xing · Kaiser Asif · Brian Ziebart
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #55
Regressive Virtual Metric Learning
In Poster Session
Michaël Perrot · Amaury Habrard
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #56
Halting in Random Walk Kernels
In Poster Session
Mahito Sugiyama · Karsten Borgwardt
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #57
Rate-Agnostic (Causal) Structure Learning
In Poster Session
Sergey Plis · David Danks · Cynthia Freeman · Vince Calhoun
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #58
Online Prediction at the Limit of Zero Temperature
In Poster Session
Mark Herbster · Stephen Pasteris · Shaona Ghosh
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #59
Lifted Symmetry Detection and Breaking for MAP Inference
In Poster Session
Timothy Kopp · Parag Singla · Henry Kautz
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #60
Bandits with Unobserved Confounders: A Causal Approach
In Poster Session
Elias Bareinboim · Andrew Forney · Judea Pearl
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #61
Sample Complexity Bounds for Iterative Stochastic Policy Optimization
In Poster Session
Marin Kobilarov
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #62
Basis refinement strategies for linear value function approximation in MDPs
In Poster Session
Gheorghe Comanici · Doina Precup · Prakash Panangaden
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #63
Probabilistic Variational Bounds for Graphical Models
In Poster Session
Qiang Liu · John W Fisher III · Alexander Ihler
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #64
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
In Poster Session
Changyou Chen · Nan Ding · Lawrence Carin
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #65
An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching
In Poster Session
Xiao Li · Kannan Ramchandran
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #66
Discrete Rényi Classifiers
In Poster Session
Meisam Razaviyayn · Farzan Farnia · David Tse
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #67
GAP Safe screening rules for sparse multi-task and multi-class models
In Poster Session
Eugene Ndiaye · Olivier Fercoq · Alexandre Gramfort · Joseph Salmon
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #68
Decomposition Bounds for Marginal MAP
In Poster Session
Wei Ping · Qiang Liu · Alexander Ihler
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #69
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
In Poster Session
Kevin Scaman · Rémi Lemonnier · Nicolas Vayatis
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #70
Estimating Mixture Models via Mixtures of Polynomials
In Poster Session
Sida Wang · Arun Tejasvi Chaganty · Percy Liang
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #71
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
In Poster Session
Eunho Yang · Aurelie C Lozano
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #72
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
In Poster Session
Alaa Saade · Florent Krzakala · Lenka Zdeborová
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #73
Robust PCA with compressed data
In Poster Session
Wooseok Ha · Rina Foygel Barber
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #74
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
In Poster Session
Kai Wei · Rishabh K Iyer · Shengjie Wang · Wenruo Bai · Jeff Bilmes
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #75
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
In Poster Session
Chao Qu · Huan Xu
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #76
A class of network models recoverable by spectral clustering
In Poster Session
Yali Wan · Marina Meila
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #77
Monotone k-Submodular Function Maximization with Size Constraints
In Poster Session
Naoto Ohsaka · Yuichi Yoshida
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #78
Smooth and Strong: MAP Inference with Linear Convergence
In Poster Session
Ofer Meshi · Mehrdad Mahdavi · Alex Schwing
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #79
StopWasting My Gradients: Practical SVRG
In Poster Session
Reza Babanezhad Harikandeh · Mohamed Osama Ahmed · Alim Virani · Mark Schmidt · Jakub Konečný · Scott Sallinen
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #80
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
In Poster Session
Rakesh Shivanna · Bibaswan K Chatterjee · Raman Sankaran · Chiranjib Bhattacharyya · Francis Bach
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #81
Differentially Private Learning of Structured Discrete Distributions
In Poster Session
Ilias Diakonikolas · Moritz Hardt · Ludwig Schmidt
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #82
Robust Portfolio Optimization
In Poster Session
Huitong Qiu · Fang Han · Han Liu · Brian Caffo
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #83
Bayesian Optimization with Exponential Convergence
In Poster Session
Kenji Kawaguchi · Leslie Kaelbling · Tomás Lozano-Pérez
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #84
Fast Randomized Kernel Ridge Regression with Statistical Guarantees
In Poster Session
Ahmed Alaoui · Michael W Mahoney
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #85
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
In Poster Session
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré · Christopher Ré
Poster
Mon Dec 04:00 PM PST @ 210 C #86
Beyond Convexity: Stochastic Quasi-Convex Optimization
In Poster Session
Elad Hazan · Kfir Y. Levy · Shai Shalev-Shwartz
Poster
Mon Dec 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
In Poster Session
Andrea Montanari · Daniel Reichman · Ofer Zeitouni
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #88
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
In Poster Session
Xinyang Yi · Constantine Caramanis
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #89
Black-box optimization of noisy functions with unknown smoothness
In Poster Session
Jean-Bastien Grill · Michal Valko · Remi Munos · Remi Munos
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #90
Combinatorial Cascading Bandits
In Poster Session
Branislav Kveton · Zheng Wen · Azin Ashkan · Csaba Szepesvari
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #91
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
In Poster Session
Tom Goldstein · Min Li · Xiaoming Yuan
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #92
Sum-of-Squares Lower Bounds for Sparse PCA
In Poster Session
Tengyu Ma · Avi Wigderson
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #93
Online Gradient Boosting
In Poster Session
Alina Beygelzimer · Elad Hazan · Satyen Kale · Haipeng Luo
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #94
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
In Poster Session
Martin Slawski · Ping Li · Matthias Hein
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #95
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
In Poster Session
Rafael Frongillo · Mark Reid
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #96
Accelerated Proximal Gradient Methods for Nonconvex Programming
In Poster Session
Huan Li · Zhouchen Lin
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #97
Nearly Optimal Private LASSO
In Poster Session
Kunal Talwar · Abhradeep Guha Thakurta · Li Zhang
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #98
Minimax Time Series Prediction
In Poster Session
Wouter Koolen · Alan Malek · Peter Bartlett · Yasin Abbasi Yadkori
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #99
Communication Complexity of Distributed Convex Learning and Optimization
In Poster Session
Yossi Arjevani · Ohad Shamir
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #100
Explore no more: Improved high-probability regret bounds for non-stochastic bandits
In Poster Session
Gergely Neu
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #101
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
In Poster Session
Tuo Zhao · Zhaoran Wang · Han Liu
Poster
Mon Dec 04:00 PM -- 08:59 PM PST @ 210 C #102
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
In Poster Session
Xia Qu · Prashant Doshi
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #1
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
In Poster Session
Emily Denton · Soumith Chintala · arthur szlam · Rob Fergus
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #2
Shepard Convolutional Neural Networks
In Poster Session
Jimmy S. Ren · Li Xu · Qiong Yan · Wenxiu Sun
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #3
Learning Structured Output Representation using Deep Conditional Generative Models
In Poster Session
Kihyuk Sohn · Honglak Lee · Xinchen Yan
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #4
Expressing an Image Stream with a Sequence of Natural Sentences
In Poster Session
Cesc C Park · Gunhee Kim
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #5
Visalogy: Answering Visual Analogy Questions
In Poster Session
Fereshteh Sadeghi · C. Lawrence Zitnick · Ali Farhadi
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #6
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
In Poster Session
Yan Huang · Wei Wang · Liang Wang
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #7
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
In Poster Session
Qing Sun · Dhruv Batra
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #8
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
In Poster Session
Jiajun Wu · Ilker Yildirim · Joseph Lim · Bill Freeman · Josh Tenenbaum
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #9
Learning visual biases from human imagination
In Poster Session
Carl Vondrick · Hamed Pirsiavash · Aude Oliva · Antonio Torralba
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #10
Character-level Convolutional Networks for Text Classification
In Poster Session
Xiang Zhang · Junbo (Jake) Zhao · Yann LeCun
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #11
Winner-Take-All Autoencoders
In Poster Session
Alireza Makhzani · Brendan J Frey
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #12
Learning both Weights and Connections for Efficient Neural Network
In Poster Session
Song Han · Jeff Pool · John Tran · Bill Dally
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #13
Interactive Control of Diverse Complex Characters with Neural Networks
In Poster Session
Igor Mordatch · Kendall Lowrey · Galen Andrew · Zoran Popovic · Emanuel Todorov
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #14
Biologically Inspired Dynamic Textures for Probing Motion Perception
In Poster Session
Jonathan Vacher · Andrew Isaac Meso · Laurent U Perrinet · Gabriel Peyré
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #15
Unsupervised Learning by Program Synthesis
In Poster Session
Kevin Ellis · Armando Solar-Lezama · Josh Tenenbaum
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #16
Deep Poisson Factor Modeling
In Poster Session
Ricardo Henao · Zhe Gan · James Lu · Lawrence Carin
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #17
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
In Poster Session
Piyush Rai · Changwei Hu · Ricardo Henao · Lawrence Carin
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #18
Tensorizing Neural Networks
In Poster Session
Alexander Novikov · Dmitrii Podoprikhin · Anton Osokin · Dmitry Vetrov
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #19
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
In Poster Session
Marylou Gabrie · Eric W Tramel · Florent Krzakala
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #20
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
In Poster Session
Sebastian Bitzer · Stefan Kiebel
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #21
Unlocking neural population non-stationarities using hierarchical dynamics models
In Poster Session
Mijung Park · Gergo Bohner · Jakob H Macke
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #22
Deeply Learning the Messages in Message Passing Inference
In Poster Session
Guosheng Lin · Chunhua Shen · Ian Reid · Anton van den Hengel
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #23
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
In Poster Session
Mehrdad Farajtabar · Yichen Wang · Manuel Rodriguez · Shuang Li · Hongyuan Zha · Le Song
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #24
The Human Kernel
In Poster Session
Andrew Wilson · Christoph Dann · Chris Lucas · Eric Xing
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #25
Latent Bayesian melding for integrating individual and population models
In Poster Session
Mingjun Zhong · Nigel Goddard · Charles Sutton
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #26
High-dimensional neural spike train analysis with generalized count linear dynamical systems
In Poster Session
Yuanjun Gao · Lars Busing · Krishna V Shenoy · John Cunningham
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #27
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
In Poster Session
Yu-Ying Liu · Shuang Li · Fuxin Li · Le Song · James M Rehg
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #28
The Population Posterior and Bayesian Modeling on Streams
In Poster Session
James McInerney · Rajesh Ranganath · David Blei
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #29
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
In Poster Session
Ye Wang · David B Dunson
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #30
Preconditioned Spectral Descent for Deep Learning
In Poster Session
David Carlson · Edo Collins · Ya-Ping Hsieh · Lawrence Carin · Volkan Cevher
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #31
Learning Continuous Control Policies by Stochastic Value Gradients
In Poster Session
Nicolas Heess · Gregory Wayne · David Silver · Timothy Lillicrap · Tom Erez · Yuval Tassa
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #32
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
In Poster Session
Felipe Tobar · Thang Bui · Richard E Turner
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #33
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
In Poster Session
Behnam Neyshabur · Russ Salakhutdinov · Nati Srebro
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #34
Automatic Variational Inference in Stan
In Poster Session
Alp Kucukelbir · Rajesh Ranganath · Andrew Gelman · David Blei
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #35
Data Generation as Sequential Decision Making
In Poster Session
Philip Bachman · Doina Precup
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #36
Stochastic Expectation Propagation
In Poster Session
Yingzhen Li · José Miguel Hernández-Lobato · Richard E Turner
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #37
Deep learning with Elastic Averaging SGD
In Poster Session
Sixin Zhang · Anna Choromanska · Yann LeCun
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #38
Learning with Group Invariant Features: A Kernel Perspective.
In Poster Session
Youssef Mroueh · Stephen Voinea · Tomaso Poggio
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #39
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
In Poster Session
Ryan J Giordano · Tamara Broderick · Michael Jordan
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #40
Probabilistic Line Searches for Stochastic Optimization
In Poster Session
Maren Mahsereci · Philipp Hennig
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #41
A hybrid sampler for Poisson-Kingman mixture models
In Poster Session
Maria Lomeli · Stefano Favaro · Yee Whye Teh
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #42
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
In Poster Session
Juho Lee · Seungjin Choi
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #43
Reflection, Refraction, and Hamiltonian Monte Carlo
In Poster Session
Hadi Mohasel Afshar · Justin Domke
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #44
Planar Ultrametrics for Image Segmentation
In Poster Session
Julian E Yarkony · Charless Fowlkes
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #45
Learning Bayesian Networks with Thousands of Variables
In Poster Session
Mauro Scanagatta · Cassio de Campos · Giorgio Corani · Marco Zaffalon
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #46
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
In Poster Session
Amar Shah · Zoubin Ghahramani
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #47
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
In Poster Session
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #48
On some provably correct cases of variational inference for topic models
In Poster Session
Pranjal Awasthi · Andrej Risteski
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #49
Large-scale probabilistic predictors with and without guarantees of validity
In Poster Session
Vladimir Vovk · Ivan Petej · Valentina Fedorova
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #50
On the Accuracy of Self-Normalized Log-Linear Models
In Poster Session
Jacob Andreas · Maxim Rabinovich · Michael Jordan · Dan Klein
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #51
Policy Evaluation Using the Ω-Return
In Poster Session
Philip Thomas · Scott Niekum · Georgios Theocharous · George Konidaris
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #52
Community Detection via Measure Space Embedding
In Poster Session
Mark Kozdoba · Shie Mannor
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #53
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels
In Poster Session
Purnamrita Sarkar · Deepayan Chakrabarti · peter j bickel
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #54
Inference for determinantal point processes without spectral knowledge
In Poster Session
Rémi Bardenet · Michalis Titsias
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #55
Sample Complexity of Learning Mahalanobis Distance Metrics
In Poster Session
Nakul Verma · Kristin Branson
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #56
Matrix Manifold Optimization for Gaussian Mixtures
In Poster Session
Reshad Hosseini · Suvrit Sra
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #57
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
In Poster Session
François-Xavier Briol · Chris Oates · Mark Girolami · Michael A Osborne
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #58
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
In Poster Session
Bo Xie · Yingyu Liang · Le Song
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #59
The Self-Normalized Estimator for Counterfactual Learning
In Poster Session
Adith Swaminathan · Thorsten Joachims
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #60
Distributionally Robust Logistic Regression
In Poster Session
Soroosh Shafieezadeh Abadeh · Peyman Esfahani · Daniel Kuhn
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #61
Top-k Multiclass SVM
In Poster Session
Maksim Lapin · Matthias Hein · Bernt Schiele
Poster
Tue Dec 04:00 PM PST @ 210 C #62
Measuring Sample Quality with Stein's Method
In Poster Session
Jackson Gorham · Lester Mackey
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #63
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
In Poster Session
Xiangru Lian · Yijun Huang · Yuncheng Li · Ji Liu
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #64
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
In Poster Session
Yuxin Chen · Emmanuel Candes
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #65
Distributed Submodular Cover: Succinctly Summarizing Massive Data
In Poster Session
Baharan Mirzasoleiman · Amin Karbasi · Ashwinkumar Badanidiyuru · Andreas Krause
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #66
Parallel Correlation Clustering on Big Graphs
In Poster Session
Xinghao Pan · Dimitris Papailiopoulos · Samet Oymak · Benjamin Recht · Kannan Ramchandran · Michael Jordan
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #67
Fast Bidirectional Probability Estimation in Markov Models
In Poster Session
Siddhartha Banerjee · Peter Lofgren
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #68
Evaluating the statistical significance of biclusters
In Poster Session
Jason D Lee · Yuekai Sun · Jonathan E Taylor
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #69
Regularization Path of Cross-Validation Error Lower Bounds
In Poster Session
Atsushi Shibagaki · Yoshiki Suzuki · Masayuki Karasuyama · Ichiro Takeuchi
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #70
Sampling from Probabilistic Submodular Models
In Poster Session
Alkis Gotovos · Hamed Hassani · Andreas Krause
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #71
Submodular Hamming Metrics
In Poster Session
Jennifer Gillenwater · Rishabh K Iyer · Bethany Lusch · Rahul Kidambi · Jeff Bilmes
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #72
Extending Gossip Algorithms to Distributed Estimation of U-statistics
In Poster Session
Igor Colin · Aurélien Bellet · Joseph Salmon · Stéphan Clémençon
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #73
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
In Poster Session
Murat Erdogdu
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #74
Collaboratively Learning Preferences from Ordinal Data
In Poster Session
Sewoong Oh · Kiran Thekumparampil · Jiaming Xu
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #75
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
In Poster Session
Guillaume Papa · Stéphan Clémençon · Aurélien Bellet
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #76
Alternating Minimization for Regression Problems with Vector-valued Outputs
In Poster Session
Prateek Jain · Ambuj Tewari
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #77
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
In Poster Session
Sashank J. Reddi · Ahmed Hefny · Suvrit Sra · Barnabas Poczos · Alexander Smola
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #78
Subset Selection by Pareto Optimization
In Poster Session
Chao Qian · Yang Yu · Zhi-Hua Zhou
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #79
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
In Poster Session
Qinqing Zheng · Ryota Tomioka
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #80
Minimum Weight Perfect Matching via Blossom Belief Propagation
In Poster Session
Sung-Soo Ahn · Sejun Park · Michael Chertkov · Jinwoo Shin
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #81
b-bit Marginal Regression
In Poster Session
Martin Slawski · Ping Li
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #82
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
In Poster Session
CHRISTOS THRAMPOULIDIS · Ehsan Abbasi · Babak Hassibi
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #83
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
In Poster Session
Cameron Musco · Christopher Musco
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #84
On the Pseudo-Dimension of Nearly Optimal Auctions
In Poster Session
Jamie Morgenstern · Tim Roughgarden
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #85
Closed-form Estimators for High-dimensional Generalized Linear Models
In Poster Session
Eunho Yang · Aurelie C Lozano · Pradeep Ravikumar
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #86
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
In Poster Session
Rasmus Kyng · Anup Rao · Sushant Sachdeva
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #87
Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization
In Poster Session
Niao He · Zaid Harchaoui
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #88
Competitive Distribution Estimation: Why is Good-Turing Good
In Poster Session
Alon Orlitsky · Ananda Theertha Suresh
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #89
A Universal Primal-Dual Convex Optimization Framework
In Poster Session
Alp Yurtsever · Quoc Tran Dinh · Volkan Cevher
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #90
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
In Poster Session
Christoph Dann · Emma Brunskill
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #91
Private Graphon Estimation for Sparse Graphs
In Poster Session
Christian Borgs · Jennifer Chayes · Adam Smith
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #92
HONOR: Hybrid Optimization for NOn-convex Regularized problems
In Poster Session
Pinghua Gong · Jieping Ye
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #93
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
In Poster Session
Qinqing Zheng · John Lafferty
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #94
Super-Resolution Off the Grid
In Poster Session
Qingqing Huang · Sham Kakade
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #95
Optimal Rates for Random Fourier Features
In Poster Session
Bharath Sriperumbudur · Zoltan Szabo
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #96
Combinatorial Bandits Revisited
In Poster Session
Richard Combes · M. Sadegh Talebi · Alexandre Proutiere · marc lelarge
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #97
Fast Convergence of Regularized Learning in Games
In Poster Session
Vasilis Syrgkanis · Alekh Agarwal · Haipeng Luo · Robert Schapire
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #98
On Elicitation Complexity
In Poster Session
Rafael Frongillo · Ian Kash
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #99
Online Learning with Adversarial Delays
In Poster Session
Kent Quanrud · Daniel Khashabi
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #100
Structured Estimation with Atomic Norms: General Bounds and Applications
In Poster Session
Sheng Chen · Arindam Banerjee
Poster
Tue Dec 04:00 PM -- 08:59 PM PST @ 210 C #101
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
In Poster Session
Vitaly Feldman · Will Perkins · Santosh Vempala
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #1
Deep Visual Analogy-Making
In Poster Session
Scott E Reed · Yi Zhang · Yuting Zhang · Honglak Lee
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #2
Where are they looking?
In Poster Session
Adria Recasens · Aditya Khosla · Carl Vondrick · Antonio Torralba
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #3
Spatial Transformer Networks
In Poster Session
Max Jaderberg · Karen Simonyan · Andrew Zisserman · koray kavukcuoglu
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #4
Training Very Deep Networks
In Poster Session
Rupesh K Srivastava · Klaus Greff · Jürgen Schmidhuber
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #5
Attention-Based Models for Speech Recognition
In Poster Session
Jan K Chorowski · Dzmitry Bahdanau · Dmitriy Serdyuk · Kyunghyun Cho · Yoshua Bengio
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #6
Deep Convolutional Inverse Graphics Network
In Poster Session
Tejas Kulkarni · William Whitney · Pushmeet Kohli · Josh Tenenbaum
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #7
End-To-End Memory Networks
In Poster Session
Sainbayar Sukhbaatar · arthur szlam · Jason Weston · Rob Fergus
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #8
Learning to Segment Object Candidates
In Poster Session
Pedro O. Pinheiro · Ronan Collobert · Piotr Dollar
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #9
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
In Poster Session
Armand Joulin · Tomas Mikolov
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #10
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
In Poster Session
Dane S Corneil · Wulfram Gerstner
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #11
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
In Poster Session
Rie Johnson · Tong Zhang
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #12
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors
In Poster Session
Dan Rosenbaum · Yair Weiss
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #13
Backpropagation for Energy-Efficient Neuromorphic Computing
In Poster Session
Steve Esser · Rathinakumar Appuswamy · Paul Merolla · John Arthur · Dharmendra S Modha
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #14
Learning Wake-Sleep Recurrent Attention Models
In Poster Session
Jimmy Ba · Russ Salakhutdinov · Roger Grosse · Brendan J Frey
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #15
On-the-Job Learning with Bayesian Decision Theory
In Poster Session
Keenon Werling · Arun Tejasvi Chaganty · Percy Liang · Christopher Manning
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #16
Color Constancy by Learning to Predict Chromaticity from Luminance
In Poster Session
Ayan Chakrabarti
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #17
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
In Poster Session
Seunghoon Hong · Hyeonwoo Noh · Bohyung Han
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #18
Action-Conditional Video Prediction using Deep Networks in Atari Games
In Poster Session
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #19
Bayesian Active Model Selection with an Application to Automated Audiometry
In Poster Session
Jacob Gardner · Gustavo Malkomes · Roman Garnett · Kilian Weinberger · Dennis Barbour · John Cunningham
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #20
Efficient and Robust Automated Machine Learning
In Poster Session
Matthias Feurer · Aaron Klein · Katharina Eggensperger · Jost Springenberg · Manuel Blum · Frank Hutter
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #21
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
In Poster Session
Peter Schulam · Suchi Saria
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #22
Pointer Networks
In Poster Session
Oriol Vinyals · Meire Fortunato · Navdeep Jaitly
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #23
A Reduced-Dimension fMRI Shared Response Model
In Poster Session
Cameron Po-Hsuan Chen · Janice Chen · Yaara Yeshurun · Uri Hasson · James Haxby · Peter J Ramadge
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #24
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
In Poster Session
Pascal Vincent · Alexandre de Brébisson · Xavier Bouthillier
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #25
Precision-Recall-Gain Curves: PR Analysis Done Right
In Poster Session
Peter Flach · Meelis Kull
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #26
A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
In Poster Session
Yuval Harel · Ron Meir · Manfred Opper
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #27
Equilibrated adaptive learning rates for non-convex optimization
In Poster Session
Yann Dauphin · Harm de Vries · Yoshua Bengio
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #28
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
In Poster Session
Kevin G Jamieson · Lalit Jain · Chris Fernandez · Nicholas J. Glattard · Rob Nowak
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #29
Gaussian Process Random Fields
In Poster Session
Dave Moore · Stuart J Russell
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #30
MCMC for Variationally Sparse Gaussian Processes
In Poster Session
James Hensman · Alexander Matthews · Maurizio Filippone · Zoubin Ghahramani
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #31
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
In Poster Session
Trevor Campbell · Julian Straub · John W Fisher III · Jonathan How
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #32
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
In Poster Session
David I Inouye · Pradeep Ravikumar · Inderjit S Dhillon
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #33
Human Memory Search as Initial-Visit Emitting Random Walk
In Poster Session
Kwang-Sung Jun · Jerry Zhu · Timothy T Rogers · Zhuoran Yang · Ming Yuan
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #34
Structured Transforms for Small-Footprint Deep Learning
In Poster Session
Vikas Sindhwani · Tara Sainath · Sanjiv Kumar
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #35
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
In Poster Session
Chicheng Zhang · Jimin Song · Kamalika Chaudhuri · Kevin Chen
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #36
A Structural Smoothing Framework For Robust Graph Comparison
In Poster Session
Pinar Yanardag · S.V.N. Vishwanathan
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #37
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
In Poster Session
Ted Meeds · Max Welling
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #38
Inverse Reinforcement Learning with Locally Consistent Reward Functions
In Poster Session
Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #39
Consistent Multilabel Classification
In Poster Session
Oluwasanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit S Dhillon
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #40
Is Approval Voting Optimal Given Approval Votes?
In Poster Session
Ariel Procaccia · Nisarg Shah
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #41
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
In Poster Session
Cengiz Pehlevan · Dmitri Chklovskii
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #42
Efficient Non-greedy Optimization of Decision Trees
In Poster Session
Mohammad Norouzi · Maxwell Collins · Matthew A Johnson · David J Fleet · Pushmeet Kohli
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #43
Statistical Topological Data Analysis - A Kernel Perspective
In Poster Session
Roland Kwitt · Stefan Huber · Marc Niethammer · Weili Lin · Ulrich Bauer
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #44
Variational Consensus Monte Carlo
In Poster Session
Maxim Rabinovich · Elaine Angelino · Michael Jordan
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #45
Softstar: Heuristic-Guided Probabilistic Inference
In Poster Session
Mathew Monfort · Brenden M Lake · Brenden Lake · Brian Ziebart · Patrick Lucey · Josh Tenenbaum
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #46
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
In Poster Session
Heiko Strathmann · Dino Sejdinovic · Samuel Livingstone · Zoltan Szabo · Arthur Gretton
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #47
A Complete Recipe for Stochastic Gradient MCMC
In Poster Session
Yi-An Ma · Tianqi Chen · Emily Fox
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #48
Barrier Frank-Wolfe for Marginal Inference
In Poster Session
Rahul G Krishnan · Simon Lacoste-Julien · David Sontag
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #49
Practical and Optimal LSH for Angular Distance
In Poster Session
Alexandr Andoni · Piotr Indyk · Thijs Laarhoven · Ilya Razenshteyn · Ludwig Schmidt
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #50
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
In Poster Session
Jonas Mueller · Tommi Jaakkola
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #51
Kullback-Leibler Proximal Variational Inference
In Poster Session
Mohammad Emtiyaz Khan · Pierre Baque · François Fleuret · Pascal Fua
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #52
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
In Poster Session
Gunwoong Park · Garvesh Raskutti
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #53
Streaming Min-max Hypergraph Partitioning
In Poster Session
Dan Alistarh · Jennifer Iglesias · Milan Vojnovic
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #54
Efficient Output Kernel Learning for Multiple Tasks
In Poster Session
Pratik Kumar Jawanpuria · Maksim Lapin · Matthias Hein · Bernt Schiele
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #55
Gradient Estimation Using Stochastic Computation Graphs
In Poster Session
John Schulman · Nicolas Heess · Theophane Weber · Pieter Abbeel
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #56
Lifted Inference Rules With Constraints
In Poster Session
Happy Mittal · Anuj Mahajan · Vibhav G Gogate · Parag Singla
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #57
Sparse PCA via Bipartite Matchings
In Poster Session
Megasthenis Asteris · Dimitris Papailiopoulos · Anastasios Kyrillidis · Alexandros Dimakis
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #58
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
In Poster Session
Takashi Takenouchi · Takafumi Kanamori
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #59
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
In Poster Session
Fredrik D Johansson · Ankani Chattoraj · Chiranjib Bhattacharyya · Devdatt Dubhashi
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #60
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
In Poster Session
Balázs Szörényi · Róbert Busa-Fekete · Adil Paul · Eyke Hüllermeier
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #61
Segregated Graphs and Marginals of Chain Graph Models
In Poster Session
Ilya Shpitser
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #62
Approximating Sparse PCA from Incomplete Data
In Poster Session
ABHISEK KUNDU · Petros Drineas · Malik Magdon-Ismail
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #63
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
In Poster Session
Jie Wang · Jieping Ye
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #64
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
In Poster Session
Emmanuel Abbe · Colin Sandon
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #65
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
In Poster Session
Justin Domke
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #66
Testing Closeness With Unequal Sized Samples
In Poster Session
Bhaswar Bhattacharya · Gregory Valiant
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #67
Learning Causal Graphs with Small Interventions
In Poster Session
Karthikeyan Shanmugam · Murat Kocaoglu · Alexandros Dimakis · Sriram Vishwanath
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #68
Regret-Based Pruning in Extensive-Form Games
In Poster Session
Noam Brown · Tuomas Sandholm
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #69
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
In Poster Session
Kirthevasan Kandasamy · Akshay Krishnamurthy · Barnabas Poczos · Larry Wasserman · james m robins
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #70
Bounding errors of Expectation-Propagation
In Poster Session
Guillaume Dehaene · Simon Barthelmé
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #71
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
In Poster Session
Mithun Chakraborty · Sanmay Das
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #72
Local Smoothness in Variance Reduced Optimization
In Poster Session
Daniel Vainsencher · Han Liu · Tong Zhang
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #73
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
In Poster Session
Zhaoran Wang · Quanquan Gu · Yang Ning · Han Liu
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #74
Associative Memory via a Sparse Recovery Model
In Poster Session
Arya Mazumdar · Ankit Singh Rawat
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #75
Matrix Completion Under Monotonic Single Index Models
In Poster Session
Ravi Ganti · Laura Balzano · Rebecca Willett
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #76
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
In Poster Session
Ian En-Hsu Yen · Kai Zhong · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit S Dhillon
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #77
Convergence rates of sub-sampled Newton methods
In Poster Session
Murat Erdogdu · Andrea Montanari
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #78
Variance Reduced Stochastic Gradient Descent with Neighbors
In Poster Session
Thomas Hofmann · Aurelien Lucchi · Simon Lacoste-Julien · Brian McWilliams
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #79
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
In Poster Session
Wei Sun · Zhaoran Wang · Han Liu · Guang Cheng
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #80
Convergence Rates of Active Learning for Maximum Likelihood Estimation
In Poster Session
Kamalika Chaudhuri · Sham Kakade · Praneeth Netrapalli · Sujay Sanghavi
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #81
When are Kalman-Filter Restless Bandits Indexable?
In Poster Session
Christopher R Dance · Tomi Silander
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #82
Policy Gradient for Coherent Risk Measures
In Poster Session
Aviv Tamar · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #83
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
In Poster Session
Ian En-Hsu Yen · Shan-Wei Lin · Shou-De Lin
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #84
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
In Poster Session
Simon Lacoste-Julien · Martin Jaggi
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #85
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
In Poster Session
Zheng Qu · Peter Richtarik · Tong Zhang
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #86
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
In Poster Session
Tasuku Soma · Yuichi Yoshida
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #87
A Universal Catalyst for First-Order Optimization
In Poster Session
Hongzhou Lin · Julien Mairal · Zaid Harchaoui
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #88
Fast and Memory Optimal Low-Rank Matrix Approximation
In Poster Session
Se-Young Yun · marc lelarge · Alexandre Proutiere
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #89
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
In Poster Session
Tian Lin · Jian Li · Wei Chen
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #90
Linear Multi-Resource Allocation with Semi-Bandit Feedback
In Poster Session
Tor Lattimore · Yacov Crammer · Csaba Szepesvari
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #91
Exactness of Approximate MAP Inference in Continuous MRFs
In Poster Session
Nicholas Ruozzi
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #92
On the consistency theory of high dimensional variable screening
In Poster Session
Xiangyu Wang · Chenlei Leng · David B Dunson
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #93
Finite-Time Analysis of Projected Langevin Monte Carlo
In Poster Session
Sebastien Bubeck · Ronen Eldan · Joseph Lehec
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #94
Optimal Testing for Properties of Distributions
In Poster Session
Jayadev Acharya · Constantinos Daskalakis · Gautam Kamath
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #95
Learning Theory and Algorithms for Forecasting Non-stationary Time Series
In Poster Session
Vitaly Kuznetsov · Mehryar Mohri
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #96
Accelerated Mirror Descent in Continuous and Discrete Time
In Poster Session
Walid Krichene · Alexandre Bayen · Peter Bartlett
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #97
Information-theoretic lower bounds for convex optimization with erroneous oracles
In Poster Session
Yaron Singer · Jan Vondrak
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #98
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
In Poster Session
Ofer Dekel · Ronen Eldan · Tomer Koren
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #99
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
In Poster Session
Vidyashankar Sivakumar · Arindam Banerjee · Pradeep Ravikumar
Poster
Wed Dec 04:00 PM -- 08:59 PM PST @ 210 C #100
Adaptive Online Learning
In Poster Session
Dylan Foster · Alexander Rakhlin · Karthik Sridharan
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #1
Teaching Machines to Read and Comprehend
In Poster Session
Karl Moritz Hermann · Tomas Kocisky · Edward Grefenstette · Lasse Espeholt · Will Kay · Mustafa Suleyman · Phil Blunsom
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #2
Saliency, Scale and Information: Towards a Unifying Theory
In Poster Session
Shafin Rahman · Neil Bruce
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #3
Semi-supervised Learning with Ladder Networks
In Poster Session
Antti Rasmus · Mathias Berglund · Mikko Honkala · Harri Valpola · Tapani Raiko
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #4
Enforcing balance allows local supervised learning in spiking recurrent networks
In Poster Session
Ralph Bourdoukan · Sophie Denève
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #5
Semi-supervised Sequence Learning
In Poster Session
Andrew Dai · Quoc V Le
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #6
Skip-Thought Vectors
In Poster Session
Jamie Kiros · Yukun Zhu · Russ Salakhutdinov · Richard Zemel · Raquel Urtasun · Antonio Torralba · Sanja Fidler
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #7
Learning to Linearize Under Uncertainty
In Poster Session
Ross Goroshin · Michael Mathieu · Yann LeCun
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #8
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
In Poster Session
David Kappel · Stefan Habenschuss · Robert Legenstein · Wolfgang Maass
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #9
Natural Neural Networks
In Poster Session
Guillaume Desjardins · Karen Simonyan · Razvan Pascanu · koray kavukcuoglu
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #10
Convolutional Networks on Graphs for Learning Molecular Fingerprints
In Poster Session
David Duvenaud · Dougal Maclaurin · Jorge Iparraguirre · Rafael Bombarell · Timothy Hirzel · Alan Aspuru-Guzik · Ryan Adams
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #11
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
In Poster Session
Xingjian Shi · Zhourong Chen · Hao Wang · Dit-Yan Yeung · Wai-kin Wong · Wang-chun WOO
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #12
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
In Poster Session
Samy Bengio · Oriol Vinyals · Navdeep Jaitly · Noam Shazeer
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #13
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
In Poster Session
Been Kim · Julie A Shah · Finale Doshi-Velez
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #14
Max-Margin Deep Generative Models
In Poster Session
Chongxuan Li · Jun Zhu · Tim Shi · Bo Zhang
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #15
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
In Poster Session
Yuya Yoshikawa · Tomoharu Iwata · Hiroshi Sawada · Takeshi Yamada
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #16
A Gaussian Process Model of Quasar Spectral Energy Distributions
In Poster Session
Andrew Miller · Albert Wu · Jeffrey Regier · Jon McAuliffe · Dustin Lang · Mr. Prabhat · David Schlegel · Ryan Adams
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #17
Neural Adaptive Sequential Monte Carlo
In Poster Session
Shixiang (Shane) Gu · Zoubin Ghahramani · Richard E Turner
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #18
Convolutional spike-triggered covariance analysis for neural subunit models
In Poster Session
Anqi Wu · Il Memming Park · Jonathan W Pillow
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #19
Rectified Factor Networks
In Poster Session
Djork-Arné Clevert · Andreas Mayr · Thomas Unterthiner · Sepp Hochreiter
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #20
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
In Poster Session
Manuel Watter · Jost Springenberg · Joschka Boedecker · Martin Riedmiller
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #21
Bayesian dark knowledge
In Poster Session
Anoop Korattikara Balan · Vivek Rathod · Kevin Murphy · Max Welling
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #22
GP Kernels for Cross-Spectrum Analysis
In Poster Session
Kyle R Ulrich · David Carlson · Kafui Dzirasa · Lawrence Carin
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #23
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
In Poster Session
Jianshu Chen · Ji He · Yelong Shen · Lin Xiao · Xiaodong He · Jianfeng Gao · Xinying Song · Li Deng
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #24
Particle Gibbs for Infinite Hidden Markov Models
In Poster Session
Nilesh Tripuraneni · Shixiang (Shane) Gu · Hong Ge · Zoubin Ghahramani
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #25
Sparse Local Embeddings for Extreme Multi-label Classification
In Poster Session
Kush Bhatia · Himanshu Jain · Purushottam Kar · Manik Varma · Prateek Jain
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #26
Robust Spectral Inference for Joint Stochastic Matrix Factorization
In Poster Session
Moontae Lee · David Bindel · David Mimno
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #27
Space-Time Local Embeddings
In Poster Session
Ke Sun · Jun Wang · Alexandros Kalousis · Stephane Marchand-Maillet
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #28
A fast, universal algorithm to learn parametric nonlinear embeddings
In Poster Session
Miguel A. Carreira-Perpinan · Max Vladymyrov
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #29
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
In Poster Session
Mijung Park · Wittawat Jitkrittum · Ahmad Qamar · Zoltan Szabo · Lars Buesing · Maneesh Sahani
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #30
Local Causal Discovery of Direct Causes and Effects
In Poster Session
Tian Gao · Qiang Ji
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #31
Discriminative Robust Transformation Learning
In Poster Session
Jiaji Huang · Qiang Qiu · Guillermo Sapiro · Robert Calderbank
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #32
Max-Margin Majority Voting for Learning from Crowds
In Poster Session
TIAN TIAN · Jun Zhu
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #33
M-Best-Diverse Labelings for Submodular Energies and Beyond
In Poster Session
Alexander Kirillov · Dmytro Shlezinger · Dmitry Vetrov · Carsten Rother · Bogdan Savchynskyy
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #34
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
In Poster Session
Xiaocheng Shang · Zhanxing Zhu · Benedict Leimkuhler · Amos Storkey
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #35
Time-Sensitive Recommendation From Recurrent User Activities
In Poster Session
Nan Du · Yichen Wang · Niao He · Jimeng Sun · Le Song
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #36
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models
In Poster Session
Akihiro Kishimoto · Radu Marinescu · Adi Botea
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #37
Logarithmic Time Online Multiclass prediction
In Poster Session
Anna Choromanska · John Langford
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #38
Scalable Semi-Supervised Aggregation of Classifiers
In Poster Session
Akshay Balsubramani · Yoav Freund
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #39
Bounding the Cost of Search-Based Lifted Inference
In Poster Session
David B Smith · Vibhav G Gogate
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #40
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
In Poster Session
Joseph Wang · Kirill Trapeznikov · Venkatesh Saligrama
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #41
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
In Poster Session
Wenye Li
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #42
Sample Efficient Path Integral Control under Uncertainty
In Poster Session
Yunpeng Pan · Evangelos Theodorou · Michail Kontitsis
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #43
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
In Poster Session
Jaya Kawale · Hung H Bui · Branislav Kveton · Long Tran-Thanh · Sanjay Chawla
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #44
Parallelizing MCMC with Random Partition Trees
In Poster Session
Xiangyu Wang · Fangjian Guo · Katherine Heller · David B Dunson
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #45
Fast Lifted MAP Inference via Partitioning
In Poster Session
Somdeb Sarkhel · Parag Singla · Vibhav G Gogate
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #46
Active Learning from Weak and Strong Labelers
In Poster Session
Chicheng Zhang · Kamalika Chaudhuri
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #47
Fast and Guaranteed Tensor Decomposition via Sketching
In Poster Session
Yining Wang · Hsiao-Yu Tung · Alexander Smola · Anima Anandkumar
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #48
Spherical Random Features for Polynomial Kernels
In Poster Session
Jeffrey Pennington · Felix Yu · Sanjiv Kumar
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #49
Learnability of Influence in Networks
In Poster Session
Harikrishna Narasimhan · David Parkes · Yaron Singer
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #50
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
In Poster Session
James R Voss · Mikhail Belkin · Luis Rademacher
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #51
Differentially private subspace clustering
In Poster Session
Yining Wang · Yu-Xiang Wang · Aarti Singh
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #52
Compressive spectral embedding: sidestepping the SVD
In Poster Session
Dinesh Ramasamy · Upamanyu Madhow
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #53
Generalization in Adaptive Data Analysis and Holdout Reuse
In Poster Session
Cynthia Dwork · Vitaly Feldman · Moritz Hardt · Toni Pitassi · Omer Reingold · Aaron Roth
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #54
Online F-Measure Optimization
In Poster Session
Róbert Busa-Fekete · Balázs Szörényi · Krzysztof Dembczynski · Eyke Hüllermeier
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #55
Matrix Completion with Noisy Side Information
In Poster Session
Kai-Yang Chiang · Cho-Jui Hsieh · Inderjit S Dhillon
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #56
A Market Framework for Eliciting Private Data
In Poster Session
Bo Waggoner · Rafael Frongillo · Jacob D Abernethy
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #57
Optimal Ridge Detection using Coverage Risk
In Poster Session
Yen-Chi Chen · Christopher Genovese · Shirley Ho · Larry Wasserman
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #58
Fast Distributed k-Center Clustering with Outliers on Massive Data
In Poster Session
Gustavo Malkomes · Matt J Kusner · Wenlin Chen · Kilian Q Weinberger · Benjamin Moseley
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #59
Orthogonal NMF through Subspace Exploration
In Poster Session
Megasthenis Asteris · Dimitris Papailiopoulos · Alexandros Dimakis
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #60
Fast Classification Rates for High-dimensional Gaussian Generative Models
In Poster Session
Tianyang Li · Adarsh Prasad · Pradeep Ravikumar
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #61
Efficient and Parsimonious Agnostic Active Learning
In Poster Session
Tzu-Kuo Huang · Alekh Agarwal · Daniel Hsu · John Langford · Robert Schapire
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #62
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
In Poster Session
Nikhil Rao · Hsiang-Fu Yu · Pradeep Ravikumar · Inderjit S Dhillon
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #63
Less is More: Nyström Computational Regularization
In Poster Session
Alessandro Rudi · Raffaello Camoriano · Lorenzo Rosasco
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #64
Predtron: A Family of Online Algorithms for General Prediction Problems
In Poster Session
Prateek Jain · Nagarajan Natarajan · Ambuj Tewari
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #65
On the Optimality of Classifier Chain for Multi-label Classification
In Poster Session
Weiwei Liu · Ivor Tsang
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #66
Smooth Interactive Submodular Set Cover
In Poster Session
Bryan He · Yisong Yue
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #67
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
In Poster Session
Janne H Korhonen · Pekka Parviainen
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #68
Secure Multi-party Differential Privacy
In Poster Session
Peter Kairouz · Sewoong Oh · Pramod Viswanath
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #69
Adaptive Stochastic Optimization: From Sets to Paths
In Poster Session
Zhan Wei Lim · David Hsu · Wee Sun Lee
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #70
Learning structured densities via infinite dimensional exponential families
In Poster Session
Siqi Sun · Mladen Kolar · Jinbo Xu
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #71
Lifelong Learning with Non-i.i.d. Tasks
In Poster Session
Anastasia Pentina · Christoph Lampert
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #72
Learning with Symmetric Label Noise: The Importance of Being Unhinged
In Poster Session
Brendan van Rooyen · Aditya Menon · Robert Williamson
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #73
Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
In Poster Session
Huasen Wu · R. Srikant · Xin Liu · Chong Jiang
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #74
From random walks to distances on unweighted graphs
In Poster Session
Tatsunori Hashimoto · Yi Sun · Tommi Jaakkola
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #75
Robust Regression via Hard Thresholding
In Poster Session
Kush Bhatia · Prateek Jain · Purushottam Kar
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #76
Column Selection via Adaptive Sampling
In Poster Session
Saurabh Paul · Malik Magdon-Ismail · Petros Drineas
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #77
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
In Poster Session
Yunwen Lei · Urun Dogan · Alexander Binder · Marius Kloft
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #78
Optimal Linear Estimation under Unknown Nonlinear Transform
In Poster Session
Xinyang Yi · Zhaoran Wang · Constantine Caramanis · Han Liu
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #79
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
In Poster Session
Yinlam Chow · Aviv Tamar · Shie Mannor · Marco Pavone
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #80
Learning with Incremental Iterative Regularization
In Poster Session
Lorenzo Rosasco · Silvia Villa
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #81
No-Regret Learning in Bayesian Games
In Poster Session
Jason Hartline · Vasilis Syrgkanis · Eva Tardos
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #82
Sparse and Low-Rank Tensor Decomposition
In Poster Session
Parikshit Shah · Nikhil Rao · Gongguo Tang
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #83
Analysis of Robust PCA via Local Incoherence
In Poster Session
Huishuai Zhang · Yi Zhou · Yingbin Liang
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #84
Algorithmic Stability and Uniform Generalization
In Poster Session
Ibrahim M Alabdulmohsin
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #85
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
In Poster Session
Daniel Hsu · Aryeh Kontorovich · Csaba Szepesvari
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #86
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
In Poster Session
Sohail Bahmani · Justin Romberg
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #87
Unified View of Matrix Completion under General Structural Constraints
In Poster Session
Suriya Gunasekar · Arindam Banerjee · Joydeep Ghosh
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #88
Copeland Dueling Bandits
In Poster Session
Masrour Zoghi · Zohar Karnin · Shimon Whiteson · Maarten de Rijke
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #89
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
In Poster Session
Junpei Komiyama · Junya Honda · Hiroshi Nakagawa
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #90
Online Learning for Adversaries with Memory: Price of Past Mistakes
In Poster Session
Oren Anava · Elad Hazan · Shie Mannor
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #91
Revenue Optimization against Strategic Buyers
In Poster Session
Mehryar Mohri · Andres Munoz
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #92
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
In Poster Session
Wei Cao · Jian Li · Yufei Tao · Zhize Li
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #93
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
In Poster Session
Ruoyu Sun · Mingyi Hong
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #94
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
In Poster Session
Julien Audiffren · Liva Ralaivola
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #95
Fighting Bandits with a New Kind of Smoothness
In Poster Session
Jacob D Abernethy · Chansoo Lee · Ambuj Tewari
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #96
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care
In Poster Session
Sorathan Chaturapruek · John Duchi · Christopher Ré
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #97
The Pareto Regret Frontier for Bandits
In Poster Session
Tor Lattimore
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #98
Online Learning with Gaussian Payoffs and Side Observations
In Poster Session
Yifan Wu · András György · Csaba Szepesvari
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #99
Fast Rates for Exp-concave Empirical Risk Minimization
In Poster Session
Tomer Koren · Kfir Y. Levy
Poster
Thu Dec 08:00 AM -- 12:00 PM PST @ 210 C #100
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
In Poster Session
Theodoros Tsiligkaridis · Theodoros Tsiligkaridis · Keith Forsythe