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Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #1
The loss surface of deep and wide neural networks
Quynh Nguyen · Matthias Hein
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #2
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
David Balduzzi · Brian McWilliams · Tony Butler-Yeoman
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #3
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh · Razvan Pascanu · Samy Bengio · Yoshua Bengio
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #4
Geometry of Neural Network Loss Surfaces via Random Matrix Theory
Jeffrey Pennington · Yasaman Bahri
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #5
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi · Marcus Frean · Wan-Duo Ma · Brian McWilliams · Lennox Leary · John Lewis
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #6
Learning to Learn without Gradient Descent by Gradient Descent
Yutian Chen · Matthew Hoffman · Sergio Gómez Colmenarejo · Misha Denil · Timothy Lillicrap · Matthew Botvinick · Nando de Freitas
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #7
A Semismooth Newton Method for Fast, Generic Convex Programming
Alnur Ali · Eric Wong · Zico Kolter
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #8
Unifying task specification in reinforcement learning
Martha White
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #9
Efficient Online Bandit Multiclass Learning with O(sqrt{T}) Regret
Alina Beygelzimer · Francesco Orabona · Chicheng Zhang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #10
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
Vatsal Sharan · Gregory Valiant
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #11
Learned Optimizers that Scale and Generalize
Olga Wichrowska · Niru Maheswaranathan · Matthew Hoffman · Sergio Gómez Colmenarejo · Misha Denil · Nando de Freitas · Jascha Sohl-Dickstein
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #12
Approximate Newton Methods and Their Local Convergence
Haishan Ye · Luo Luo · Zhihua Zhang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #13
A Distributional Perspective on Reinforcement Learning
Marc Bellemare · Will Dabney · Remi Munos
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #14
Active Learning for Accurate Estimation of Linear Models
Carlos Riquelme Ruiz · Mohammad Ghavamzadeh · Alessandro Lazaric
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #15
Tensor Decomposition via Simultaneous Power Iteration
Poan Wang · Chi-Jen Lu
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #16
Learning Gradient Descent: Better Generalization and Longer Horizons
Kaifeng Lv · Shunhua Jiang · Jian Li
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #17
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
Chaoxu Zhou · Wenbo Gao · Donald Goldfarb
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #18
Hierarchy Through Composition with Multitask LMDPs
Andrew Saxe · Adam Earle · Benjamin Rosman
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #19
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen Kale · Zohar Karnin · Tengyuan Liang · David Pal
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #20
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery
Lingxiao Wang · Xiao Zhang · Quanquan Gu
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #21
Learning Algorithms for Active Learning
Philip Bachman · Alessandro Sordoni · Adam Trischler
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #22
Practical Gauss-Newton Optimisation for Deep Learning
Aleksandar Botev · Julian Hippolyt Ritter · David Barber
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #23
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado · Marc Bellemare · Michael Bowling
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #24
Emulating the Expert: Inverse Optimization through Online Learning
Sebastian Pokutta · Andreas Bärmann · Oskar Schneider
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #25
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation
David Anderson · Ming Gu
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #26
Tensor Balancing on Statistical Manifold
Mahito Sugiyama · Hiroyuki Nakahara · Koji Tsuda
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #27
Modular Multitask Reinforcement Learning with Policy Sketches
Jacob Andreas · Dan Klein · Sergey Levine
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #28
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala · Matthias Hein
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #29
Algorithms for $\ell_p$ Low-Rank Approximation
Flavio Chierichetti · Sreenivas Gollapudi · Ravi Kumar · Silvio Lattanzi · Rina Panigrahy · David Woodruff
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #30
Relative Fisher Information and Natural Gradient for Learning Large Modular Models
Ke Sun · Frank Nielsen
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #31
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
zakaria mhammedi · Andrew Hellicar · James Bailey · Ashfaqur Rahman
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #32
Lazifying Conditional Gradient Algorithms
Gábor Braun · Sebastian Pokutta · Daniel Zink
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #33
Data-Efficient Policy Evaluation Through Behavior Policy Search
Josiah Hanna · Philip S. Thomas · Peter Stone · Scott Niekum
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #34
Exact MAP Inference by Avoiding Fractional Vertices
Erik Lindgren · Alexandros Dimakis · Adam Klivans
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #35
Leveraging Node Attributes for Incomplete Relational Data
He Zhao · Lan Du · Wray Buntine
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #36
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?
Andreas Loukas
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #37
Distributed and Provably Good Seedings for k-Means in Constant Rounds
Olivier Bachem · Mario Lucic · Andreas Krause
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #38
Learning Deep Architectures via Generalized Whitened Neural Networks
Ping Luo
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #39
On orthogonality and learning RNNs with long term dependencies
Eugene Vorontsov · Chiheb Trabelsi · Christopher Pal · Samuel Kadoury
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #40
Conditional Accelerated Lazy Stochastic Gradient Descent
Guanghui · Sebastian Pokutta · Yi Zhou · Daniel Zink
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #41
Stochastic Variance Reduction Methods for Policy Evaluation
Simon Du · Jianshu Chen · Lihong Li · Lin Xiao · Dengyong Zhou
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #42
Exact Inference for Integer Latent-Variable Models
Kevin Winner · Debora Sujono · Daniel Sheldon
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #43
Bayesian inference on random simple graphs with power law degree distributions
Juho Lee · Creighton Heaukulani · Zoubin Ghahramani · Lancelot F. James · Seungjin Choi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #44
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
Zeyuan Allen-Zhu · Yuanzhi Li
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #45
Consistent k-Clustering
Silvio Lattanzi · Sergei Vassilvitskii
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #46
Continual Learning Through Synaptic Intelligence
Friedemann Zenke · Ben Poole · Surya Ganguli
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #47
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing · Yichen Shen · Tena Dubcek · John E Peurifoy · Scott Skirlo · Yann LeCun · Max Tegmark · Marin Solja\v{c}i\'{c}
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #48
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
Lam M Nguyen · Jie Liu · Katya Scheinberg · Martin Takac
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #49
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Yu-Xiang Wang · Alekh Agarwal · Miroslav Dudik
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #50
Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms
Arturs Backurs · Christos Tzamos
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #51
Analogical Inference for Multi-relational Embeddings
Hanxiao Liu · Yuexin Wu · Yiming Yang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #52
Spectral Learning from a Single Trajectory under Finite-State Policies
Borja de Balle Pigem · Odalric Maillard
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #53
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang · Xiao Fu · Nicholas Sidiropoulos · Mingyi Hong
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #54
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi · Joseph Wang · Ofer Dekel · Venkatesh Saligrama
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #55
The Statistical Recurrent Unit
Junier Oliva · Barnabás Póczos · Jeff Schneider
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #56
Approximate Steepest Coordinate Descent
Sebastian Stich · Anant Raj · Martin Jaggi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #57
Consistent On-Line Off-Policy Evaluation
Assaf Hallak · Shie Mannor
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #58
Variational Inference for Sparse and Undirected Models
John Ingraham · Debora Marks
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #59
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi · Hajun Dai · Yichen Wang · Le Song
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #60
Capacity Releasing Diffusion for Speed and Locality.
Di Wang · Kimon Fountoulakis · Monika Henzinger · Michael Mahoney · Satish Rao
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #61
Hyperplane Clustering Via Dual Principal Component Pursuit
Manolis Tsakiris · Rene Vidal
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #62
Combined Group and Exclusive Sparsity for Deep Neural Networks
jaehong yoon · Sung Ju Hwang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #63
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
Jakob Foerster · Justin Gilmer · Jan Chorowski · Jascha Sohl-Dickstein · David Sussillo
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #64
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
Tyler Johnson · Carlos Guestrin
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #65
Contextual Decision Processes with low Bellman rank are PAC-Learnable
Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #66
Tensor Belief Propagation
Andrew Wrigley · Wee Sun Lee · Nan Ye
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #67
Deep Generative Models for Relational Data with Side Information
Changwei Hu · Piyush Rai · Lawrence Carin
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #68
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition
Zeyuan Allen-Zhu · Yuanzhi Li
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #69
Multilevel Clustering via Wasserstein Means
Nhat Ho · Long Nguyen · Mikhail Yurochkin · Hung Bui · Viet Huynh · Dinh Phung
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #70
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel · Thang Luong · Peter Liu · Ron Weiss · Douglas Eck
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #71
Stochastic modified equations and adaptive stochastic gradient algorithms
Qianxiao Li · Cheng Tai · Weinan E
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #72
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency
Ron Appel · Pietro Perona
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #73
Faster Greedy MAP Inference for Determinantal Point Processes
Insu Han · Prabhanjan Kambadur · Kyoungsoo Park · Jinwoo Shin
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #74
ChoiceRank: Identifying Preferences from Node Traffic in Networks
Lucas Maystre · Matthias Grossglauser
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #75
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit
Jie Shen · Ping Li
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #76
Uniform Deviation Bounds for k-Means Clustering
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #77
Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control
Natasha Jaques · Shixiang Gu · Dzmitry Bahdanau · Jose Hernandez-Lobato · Richard E Turner · Douglas Eck
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #78
Dissipativity Theory for Nesterov's Accelerated Method
Bin Hu · Laurent Lessard
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #79
Gradient Boosted Decision Trees for High Dimensional Sparse Output
Si Si · Huan Zhang · Sathiya Keerthi · Dhruv Mahajan · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #80
Zonotope hit-and-run for efficient sampling from projection DPPs
Guillaume Gautier · Rémi Bardenet · Michal Valko
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #81
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
Mohsen Ahmadi Fahandar · Eyke Hüllermeier · Ines Couso
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #82
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
Bo Liu · Xiaotong Yuan · Lezi Wang · Qingshan Liu · Dimitris Metaxas
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #83
Uniform Convergence Rates for Kernel Density Estimation
Heinrich Jiang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #84
Deep Voice: Real-time Neural Text-to-Speech
Andrew Gibiansky · Mike Chrzanowski · Mohammad Shoeybi · Shubho Sengupta · Gregory Diamos · Sercan Arik · Jonathan Raiman · John Miller · Xian Li · Yongguo Kang · Adam Coates · Andrew Ng
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #85
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #86
Globally Induced Forest: A Prepruning Compression Scheme
Jean-Michel Begon · Arnaud Joly · Pierre Geurts
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #87
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI
Justin Domke
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #88
Just Sort It! A Simple and Effective Approach to Active Preference Learning
Lucas Maystre · Matthias Grossglauser
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #89
On The Projection Operator to A Three-view Cardinality Constrained Set
Haichuan Yang · Shupeng Gui · Chuyang Ke · Daniel Stefankovic · Ryohei Fujimaki · Ji Liu
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #90
Density Level Set Estimation on Manifolds with DBSCAN
Heinrich Jiang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #91
DeepBach: a Steerable Model for Bach Chorales Generation
Gaëtan HADJERES · François Pachet · Frank Nielsen
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #92
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi · Michele Donini · Paolo Frasconi · Massimiliano Pontil
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #93
Forest-type Regression with General Losses and Robust Forest
Hanbo Li · Andrew Martin
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #94
On the Sampling Problem for Kernel Quadrature
Francois-Xavier Briol · Chris J Oates · Jon Cockayne · Wilson Ye Chen · Mark Girolami
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #95
Maximum Selection and Ranking under Noisy Comparisons
Moein Falahatgar · Alon Orlitsky · Venkatadheeraj Pichapati · Ananda Suresh
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #96
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
Eunho Yang · Aurelie Lozano
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #97
Algorithmic Stability and Hypothesis Complexity
Tongliang Liu · Gábor Lugosi · Gergely Neu · Dacheng Tao
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #98
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Cinjon Resnick · Adam Roberts · Jesse Engel · Douglas Eck · Sander Dieleman · Karen Simonyan · Mohammad Norouzi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #99
Adaptive Sampling Probabilities for Non-Smooth Optimization
Hongseok Namkoong · Aman Sinha · Steven Yadlowsky · John Duchi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #100
Confident Multiple Choice Learning
Kimin Lee · Changho Hwang · KyoungSoo Park · Jinwoo Shin
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #101
Measuring Sample Quality with Kernels
Jackson Gorham · Lester Mackey
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #102
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons
Soheil Mohajer · Changho Suh · Adel Elmahdy
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #103
Compressed Sensing using Generative Models
Ashish Bora · Ajil Jalal · Eric Price · Alexandros Dimakis
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #104
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczynski · Wojciech Kotlowski · Oluwasanmi Koyejo · Nagarajan Natarajan
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #105
A Closer Look at Memorization in Deep Networks
David Krueger · Yoshua Bengio · Stanislaw Jastrzebsk · Maxinder S. Kanwal · Nicolas Ballas · Asja Fischer · Emmanuel Bengio · Devansh Arpit · Tegan Maharaj · Aaron Courville · Simon Lacoste-Julien
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #106
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas · Jimei Yang · Yuliang Zou · Sungryull Sohn · Xunyu Lin · Honglak Lee
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #107
Sub-sampled Cubic Regularization for Non-convex Optimization
Jonas Kohler · Aurelien Lucchi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #108
Regret Minimization in Behaviorally-Constrained Zero-Sum Games
Gabriele Farina · Christian Kroer · Tuomas Sandholm
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #109
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew Miller · Nicholas J Foti · Ryan Adams
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #110
Learning to Align the Source Code to the Compiled Object Code
Dor Levy · Lior Wolf
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #111
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Weizhong Zhang · Bin Hong · Wei Liu · Jieping Ye · Deng Cai · Xiaofei He · Jie Wang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #112
Distributed Mean Estimation with Limited Communication
Ananda Suresh · Felix Yu · Sanjiv Kumar · H. Brendan McMahan
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #113
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter · David GT Barrett · Adam Santoro · Matthew Botvinick
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #114
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
Jonas Mueller · David Gifford · Tommi Jaakkola
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #115
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter
Zeyuan Allen-Zhu
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #116
Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning
Noam Brown · Tuomas Sandholm
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #117
Lost Relatives of the Gumbel Trick
Matej Balog · Nilesh Tripuraneni · Zoubin Ghahramani · Adrian Weller
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #118
RobustFill: Neural Program Learning under Noisy I/O
Jacob Devlin · Jonathan Uesato · Surya Bhupatiraju · Rishabh Singh · Abdelrahman Mohammad · Pushmeet Kohli
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #119
Efficient Distributed Learning with Sparsity
Jialei Wang · Mladen Kolar · Nati Srebro · Tong Zhang
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #120
Nonparanormal Information Estimation
Shashank Singh · Barnabás Póczos
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #121
Visualizing and Understanding Multilayer Perceptron Models: A Case Study in Speech Processing
Tasha Nagamine · Nima Mesgarani
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #122
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang · Denis Krompass · Volker Tresp
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #123
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
Yair Carmon · John Duchi · Oliver Hinder · Aaron Sidford
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #124
Strongly-Typed Agents are Guaranteed to Interact Safely
David Balduzzi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #125
Learning to Aggregate Ordinal Labels by Maximizing Separating Width
Guangyong Chen · Shengyu Zhang · Di Lin · Hui Huang · Pheng Ann Heng
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #126
Programming with a Differentiable Forth Interpreter
Matko Bošnjak · Tim Rocktäschel · Jason Naradowsky · Sebastian Riedel
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #127
Innovation Pursuit: A New Approach to the Subspace Clustering Problem
Mostafa Rahmani · George Atia
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #128
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions
Jayadev Acharya · Hirakendu Das · Alon Orlitsky · Ananda Suresh
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #129
Axiomatic Attribution for Deep Networks
Mukund Sundararajan · Ankur Taly · Qiqi Yan
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #130
Sequence Modeling via Segmentations
Chong Wang · Yining Wang · Po-Sen Huang · Abdelrahman Mohammad · Dengyong Zhou · Li Deng
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #131
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
Qunwei Li · Yi Zhou · Yingbin Liang · Pramod K Varshney
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #132
Coordinated Multi-Agent Imitation Learning
Hoang Le · Yisong Yue · Peter Carr · Patrick Lucey
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #133
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer
Pengtao Xie · Aarti Singh · Eric Xing
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #134
Differentiable Programs with Neural Libraries
Alex Gaunt · Marc Brockschmidt · Nate Kushman · Daniel Tarlow
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #135
Selective Inference for Sparse High-Order Interaction Models
Shinya Suzumura · Kazuya Nakagawa · Yuta Umezu · Koji Tsuda · Ichiro Takeuchi
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #136
Gradient Coding: Avoiding Stragglers in Distributed Learning
Rashish Tandon · Qi Lei · Alexandros Dimakis · NIKOS KARAMPATZIAKIS
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #137
On Calibration of Modern Neural Networks
Chuan Guo · Geoff Pleiss · Yu Sun · Kilian Weinberger
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #138
Latent LSTM Allocation: Joint clustering and non-linear dynamic modeling of sequence data
Manzil Zaheer · Amr Ahmed · Alex Smola
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #139
How to Escape Saddle Points Efficiently
Chi Jin · Rong Ge · Praneeth Netrapalli · Sham M. Kakade · Michael Jordan
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #140
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei · Jason Pazis · Chris Amato · Jonathan How · John L Vian
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #141
Learning Latent Space Models with Angular Constraints
Pengtao Xie · Yuntian Deng · Yi Zhou · Abhimanu Kumar · Yaoliang Yu · James Zou · Eric Xing
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #142
Developing Bug-Free Machine Learning Systems With Formal Mathematics
Daniel Selsam · Percy Liang · David L Dill
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #143
Dictionary Learning Based on Sparse Distribution Tomography
Pedram Pad · Farnood Salehi · Elisa Celis · Patrick Thiran · Michael Unser
Poster
Tue Aug 8th 06:30 -- 10:00 PM @ Gallery #144
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu · Takeru Miyato · Seiya Tokui · Eiichi Matsumoto · Masashi Sugiyama