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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #1
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily Denton · Soumith Chintala · arthur szlam · Rob Fergus
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #2
Shepard Convolutional Neural Networks
Jimmy S. Ren · Li Xu · Qiong Yan · Wenxiu Sun
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #3
Learning Structured Output Representation using Deep Conditional Generative Models
Kihyuk Sohn · Honglak Lee · Xinchen Yan
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #4
Expressing an Image Stream with a Sequence of Natural Sentences
Cesc C Park · Gunhee Kim
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #5
Visalogy: Answering Visual Analogy Questions
Fereshteh Sadeghi · C. Lawrence Zitnick · Ali Farhadi
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #6
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
Yan Huang · Wei Wang · Liang Wang
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #7
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
Qing Sun · Dhruv Batra
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #8
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
Jiajun Wu · Ilker Yildirim · Joseph Lim · Bill Freeman · Josh Tenenbaum
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #9
Learning visual biases from human imagination
Carl Vondrick · Hamed Pirsiavash · Aude Oliva · Antonio Torralba
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #10
Character-level Convolutional Networks for Text Classification
Xiang Zhang · Junbo (Jake) Zhao · Yann LeCun
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #11
Winner-Take-All Autoencoders
Alireza Makhzani · Brendan J Frey
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #12
Learning both Weights and Connections for Efficient Neural Network
Song Han · Jeff Pool · John Tran · Bill Dally
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #13
Interactive Control of Diverse Complex Characters with Neural Networks
Igor Mordatch · Kendall Lowrey · Galen Andrew · Zoran Popovic · Emanuel Todorov
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #14
Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher · Andrew Isaac Meso · Laurent U Perrinet · Gabriel Peyré
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #15
Unsupervised Learning by Program Synthesis
Kevin Ellis · Armando Solar-Lezama · Josh Tenenbaum
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #16
Deep Poisson Factor Modeling
Ricardo Henao · Zhe Gan · James Lu · Lawrence Carin
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #17
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai · Changwei Hu · Ricardo Henao · Lawrence Carin
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #18
Tensorizing Neural Networks
Alexander Novikov · Dmitrii Podoprikhin · Anton Osokin · Dmitry Vetrov
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #19
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
Marylou Gabrie · Eric W Tramel · Florent Krzakala
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #20
The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer · Stefan Kiebel
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #21
Unlocking neural population non-stationarities using hierarchical dynamics models
Mijung Park · Gergo Bohner · Jakob H Macke
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #22
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin · Chunhua Shen · Ian Reid · Anton van den Hengel
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #23
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar · Yichen Wang · Manuel Rodriguez · Shuang Li · Hongyuan Zha · Le Song
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #24
The Human Kernel
Andrew Wilson · Christoph Dann · Chris Lucas · Eric Xing
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #25
Latent Bayesian melding for integrating individual and population models
Mingjun Zhong · Nigel Goddard · Charles Sutton
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #26
High-dimensional neural spike train analysis with generalized count linear dynamical systems
Yuanjun Gao · Lars Busing · Krishna V Shenoy · John Cunningham
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #27
Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
Yu-Ying Liu · Shuang Li · Fuxin Li · Le Song · James Rehg
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #28
The Population Posterior and Bayesian Modeling on Streams
James McInerney · Rajesh Ranganath · David Blei
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #29
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
Ye Wang · David B Dunson
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #30
Preconditioned Spectral Descent for Deep Learning
David Carlson · Edo Collins · Ya-Ping Hsieh · Lawrence Carin · Volkan Cevher
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #31
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess · Gregory Wayne · David Silver · Timothy Lillicrap · Tom Erez · Yuval Tassa
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #32
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
Felipe Tobar · Thang Bui · Richard Turner
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #33
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur · Russ Salakhutdinov · Nati Srebro
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #34
Automatic Variational Inference in Stan
Alp Kucukelbir · Rajesh Ranganath · Andrew Gelman · David Blei
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #35
Data Generation as Sequential Decision Making
Philip Bachman · Doina Precup
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #36
Stochastic Expectation Propagation
Yingzhen Li · José Miguel Hernández-Lobato · Richard Turner
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #37
Deep learning with Elastic Averaging SGD
Sixin Zhang · Anna Choromanska · Yann LeCun
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #38
Learning with Group Invariant Features: A Kernel Perspective.
Youssef Mroueh · Stephen Voinea · Tomaso Poggio
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #39
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Ryan Giordano · Tamara Broderick · Michael Jordan
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #40
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci · Philipp Hennig
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #41
A hybrid sampler for Poisson-Kingman mixture models
Maria Lomeli · Stefano Favaro · Yee Whye Teh
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #42
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
Juho Lee · Seungjin Choi
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #43
Reflection, Refraction, and Hamiltonian Monte Carlo
Hadi Mohasel Afshar · Justin Domke
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #44
Planar Ultrametrics for Image Segmentation
Julian E Yarkony · Charless Fowlkes
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #45
Learning Bayesian Networks with Thousands of Variables
Mauro Scanagatta · Cassio de Campos · Giorgio Corani · Marco Zaffalon
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #46
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah · Zoubin Ghahramani
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #47
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #48
On some provably correct cases of variational inference for topic models
Pranjal Awasthi · Andrej Risteski
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #49
Large-scale probabilistic predictors with and without guarantees of validity
Vladimir Vovk · Ivan Petej · Valentina Fedorova
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #50
On the Accuracy of Self-Normalized Log-Linear Models
Jacob Andreas · Maxim Rabinovich · Michael Jordan · Dan Klein
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #51
Policy Evaluation Using the Ω-Return
Philip Thomas · Scott Niekum · Georgios Theocharous · George Konidaris
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #52
Community Detection via Measure Space Embedding
Mark Kozdoba · Shie Mannor
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #53
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels
Purnamrita Sarkar · Deepayan Chakrabarti · peter j bickel
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #54
Inference for determinantal point processes without spectral knowledge
Rémi Bardenet · Michalis Titsias
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #55
Sample Complexity of Learning Mahalanobis Distance Metrics
Nakul Verma · Kristin Branson
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #56
Matrix Manifold Optimization for Gaussian Mixtures
Reshad Hosseini · Suvrit Sra
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #57
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol · Chris Oates · Mark Girolami · Michael A Osborne
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #58
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie · Yingyu Liang · Le Song
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #59
The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan · Thorsten Joachims
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #60
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh Abadeh · Peyman Esfahani · Daniel Kuhn
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #61
Top-k Multiclass SVM
Maksim Lapin · Matthias Hein · Bernt Schiele
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Poster
Tue Dec 08 04:00 PM (PST) @ 210 C #62
Measuring Sample Quality with Stein's Method
Jackson Gorham · Lester Mackey
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #63
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian · Yijun Huang · Yuncheng Li · Ji Liu
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #64
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen · Emmanuel Candes
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #65
Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman · Amin Karbasi · Ashwinkumar Badanidiyuru · Andreas Krause
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #66
Parallel Correlation Clustering on Big Graphs
Xinghao Pan · Dimitris Papailiopoulos · Samet Oymak · Benjamin Recht · Kannan Ramchandran · Michael Jordan
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #67
Fast Bidirectional Probability Estimation in Markov Models
Siddhartha Banerjee · Peter Lofgren
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #68
Evaluating the statistical significance of biclusters
Jason D Lee · Yuekai Sun · Jonathan E Taylor
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #69
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki · Yoshiki Suzuki · Masayuki Karasuyama · Ichiro Takeuchi
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #70
Sampling from Probabilistic Submodular Models
Alkis Gotovos · Hamed Hassani · Andreas Krause
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #71
Submodular Hamming Metrics
Jennifer Gillenwater · Rishabh K Iyer · Bethany Lusch · Rahul Kidambi · Jeffrey A Bilmes
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #72
Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin · Aurélien Bellet · Joseph Salmon · Stéphan Clémençon
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #73
Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma
Murat Erdogdu
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #74
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh · Kiran Thekumparampil · Jiaming Xu
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #75
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa · Stéphan Clémençon · Aurélien Bellet
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #76
Alternating Minimization for Regression Problems with Vector-valued Outputs
Prateek Jain · Ambuj Tewari
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #77
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi · Ahmed Hefny · Suvrit Sra · Barnabas Poczos · Alexander Smola
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #78
Subset Selection by Pareto Optimization
Chao Qian · Yang Yu · Zhi-Hua Zhou
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #79
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
Qinqing Zheng · Ryota Tomioka
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #80
Minimum Weight Perfect Matching via Blossom Belief Propagation
Sungsoo Ahn · Sejun Park · Michael Chertkov · Jinwoo Shin
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #81
b-bit Marginal Regression
Martin Slawski · Ping Li
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #82
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
CHRISTOS THRAMPOULIDIS · Ehsan Abbasi · Babak Hassibi
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #83
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco · Christopher Musco
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #84
On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie Morgenstern · Tim Roughgarden
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #85
Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang · Aurelie C Lozano · Pradeep Ravikumar
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #86
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
Rasmus Kyng · Anup Rao · Sushant Sachdeva
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #87
Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization
Niao He · Zaid Harchaoui
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #88
Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky · Ananda Theertha Suresh
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #89
A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever · Quoc Tran Dinh · Volkan Cevher
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #90
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Christoph Dann · Emma Brunskill
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #91
Private Graphon Estimation for Sparse Graphs
Christian Borgs · Jennifer Chayes · Adam Smith
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #92
HONOR: Hybrid Optimization for NOn-convex Regularized problems
Pinghua Gong · Jieping Ye
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Poster
Tue Dec 08 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
Qinqing Zheng · John Lafferty
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #94
Super-Resolution Off the Grid
Qingqing Huang · Sham Kakade
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #95
Optimal Rates for Random Fourier Features
Bharath Sriperumbudur · Zoltan Szabo
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #96
Combinatorial Bandits Revisited
Richard Combes · M. Sadegh Talebi · Alexandre Proutiere · marc lelarge
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #97
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis · Alekh Agarwal · Haipeng Luo · Robert Schapire
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #98
On Elicitation Complexity
Rafael Frongillo · Ian Kash
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #99
Online Learning with Adversarial Delays
Kent Quanrud · Daniel Khashabi
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #100
Structured Estimation with Atomic Norms: General Bounds and Applications
Sheng Chen · Arindam Banerjee
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Poster
Tue Dec 08 04:00 PM -- 08:59 PM (PST) @ 210 C #101
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
Vitaly Feldman · Will Perkins · Santosh Vempala
[ PDF