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Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #1
Decoupled Neural Interfaces using Synthetic Gradients
In Posters Mon
Max Jaderberg · Wojciech Czarnecki · Simon Osindero · Oriol Vinyals · Alex Graves · David Silver · Koray Kavukcuoglu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #2
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
In Posters Mon
Alexander Kolesnikov · Christoph H. Lampert
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #3
Tight Bounds for Approximate Carathéodory and Beyond
In Posters Mon
Vahab Mirrokni · Renato Leme · Adrian Vladu · Sam Wong
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #4
Robust Adversarial Reinforcement Learning
In Posters Mon
Lerrel Pinto · James Davidson · Rahul Sukthankar · Abhinav Gupta
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #5
Robust Probabilistic Modeling with Bayesian Data Reweighting
In Posters Mon
Yixin Wang · Alp Kucukelbir · David Blei
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #6
Multi-objective Bandits: Optimizing the Generalized Gini Index
In Posters Mon
Robert Busa-Fekete · Balazs Szorenyi · Paul Weng · Shie Mannor
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #7
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis
In Posters Mon
Dan Garber · Ohad Shamir · Nati Srebro
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #8
Enumerating Distinct Decision Trees
In Posters Mon
Salvatore Ruggieri
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #9
Understanding Synthetic Gradients and Decoupled Neural Interfaces
In Posters Mon
Wojciech Czarnecki · Grzegorz Świrszcz · Max Jaderberg · Simon Osindero · Oriol Vinyals · Koray Kavukcuoglu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #10
Parallel Multiscale Autoregressive Density Estimation
In Posters Mon
Scott Reed · Aäron van den Oord · Nal Kalchbrenner · Sergio Gómez Colmenarejo · Ziyu Wang · Yutian Chen · Dan Belov · Nando de Freitas
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #11
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
In Posters Mon
Yossi Arjevani · Ohad Shamir
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #12
Minimax Regret Bounds for Reinforcement Learning
In Posters Mon
Mohammad Gheshlaghi Azar · Ian Osband · Remi Munos
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #13
Post-Inference Prior Swapping
In Posters Mon
Willie Neiswanger · Eric Xing
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #14
Online Learning with Local Permutations and Delayed Feedback
In Posters Mon
Liran Szlak · Ohad Shamir
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #15
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling
In Posters Mon
Jun-ichiro Hirayama · Aapo Hyvärinen · Motoaki Kawanabe
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #16
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
In Posters Mon
Yacine Jernite · Anna Choromanska · David Sontag
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #17
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
In Posters Mon
Xu SUN · Xuancheng REN · Shuming Ma · Houfeng Wang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #18
Video Pixel Networks
In Posters Mon
Nal Kalchbrenner · Karen Simonyan · Aäron van den Oord · Ivo Danihelka · Oriol Vinyals · Alex Graves · Koray Kavukcuoglu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #19
Global optimization of Lipschitz functions
In Posters Mon
Cedric Malherbe · Nicolas Vayatis
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #20
Fairness in Reinforcement Learning
In Posters Mon
Shahin Jabbari · Matthew Joseph · Michael Kearns · Jamie Morgenstern · Aaron Roth
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #21
Evaluating Bayesian Models with Posterior Dispersion Indices
In Posters Mon
Alp Kucukelbir · Yixin Wang · David Blei
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #22
Model-Independent Online Learning for Influence Maximization
In Posters Mon
Sharan Vaswani · Branislav Kveton · Zheng Wen · Mohammad Ghavamzadeh · Laks V.S Lakshmanan · Mark Schmidt
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #23
Latent Feature Lasso
In Posters Mon
En-Hsu Yen · Wei-Cheng Lee · Sung-En Chang · Arun Suggala · Shou-De Lin · Pradeep Ravikumar
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #24
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
In Posters Mon
Ashish Kumar · Saurabh Goyal · Manik Varma
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #25
Learning Important Features Through Propagating Activation Differences
In Posters Mon
Avanti Shrikumar · Peyton Greenside · Anshul Kundaje
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #26
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
In Posters Mon
Lars Mescheder · Sebastian Nowozin · Andreas Geiger
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #27
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
In Posters Mon
Yichen Chen · Dongdong Ge · Mengdi Wang · Zizhuo Wang · Yinyu Ye · Hao Yin
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #28
Boosted Fitted Q-Iteration
In Posters Mon
Samuele Tosatto · Matteo Pirotta · Carlo D'Eramo · Marcello Restelli
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #29
Automatic Discovery of the Statistical Types of Variables in a Dataset
In Posters Mon
Isabel Valera · Zoubin Ghahramani
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #30
Online Learning to Rank in Stochastic Click Models
In Posters Mon
Masrour Zoghi · Tomas Tunys · Mohammad Ghavamzadeh · Branislav Kveton · Csaba Szepesvari · Zheng Wen
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #31
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
In Posters Mon
Zhehui Chen · Lin Yang · Chris Junchi Li · Tuo Zhao
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #32
Multi-Class Optimal Margin Distribution Machine
In Posters Mon
Teng Zhang · Zhi-Hua Zhou
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #33
Evaluating the Variance of Likelihood-Ratio Gradient Estimators
In Posters Mon
Seiya Tokui · Issei Sato
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #34
Learning Texture Manifolds with the Periodic Spatial GAN
In Posters Mon
Urs M Bergmann · Nikolay Jetchev · Roland Vollgraf
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #35
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
In Posters Mon
Yi Xu · Qihang Lin · Tianbao Yang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #36
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
In Posters Mon
Ian Osband · Benjamin Van Roy
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #37
Bayesian Models of Data Streams with Hierarchical Power Priors
In Posters Mon
Andres Masegosa · Thomas D. Nielsen · Helge Langseth · Dario Ramos-Lopez · Antonio Salmeron · Anders Madsen
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #38
The Sample Complexity of Online One-Class Collaborative Filtering
In Posters Mon
Reinhard Heckel · Kannan Ramchandran
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #39
Kernelized Support Tensor Machines
In Posters Mon
Lifang He · Chun-Ta Lu · Guixiang Ma · Shen Wang · Linlin Shen · Philip Yu · Ann Ragin
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #40
Equivariance Through Parameter-Sharing
In Posters Mon
Siamak Ravanbakhsh · Jeff Schneider · Barnabás Póczos
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #41
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
In Posters Mon
Sanjeev Arora · Rong Ge · Yingyu Liang · Tengyu Ma · Yi Zhang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #42
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
In Posters Mon
Li Shen · Wei Liu · Ganzhao Yuan · Shiqian Ma
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #43
Constrained Policy Optimization
In Posters Mon
Joshua Achiam · David Held · Aviv Tamar · Pieter Abbeel
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #44
Ordinal Graphical Models: A Tale of Two Approaches
In Posters Mon
ARUN SAI SUGGALA · Eunho Yang · Pradeep Ravikumar
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #45
Efficient Regret Minimization in Non-Convex Games
In Posters Mon
Elad Hazan · Karan Singh · Cyril Zhang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #46
Coresets for Vector Summarization with Applications to Network Graphs
In Posters Mon
Dan Feldman · Sedat Ozer · Daniela Rus
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #47
Recovery Guarantees for One-hidden-layer Neural Networks
In Posters Mon
Kai Zhong · Zhao Song · Prateek Jain · Peter Bartlett · Inderjit Dhillon
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #48
Dual Supervised Learning
In Posters Mon
Yingce Xia · Tao Qin · Wei Chen · Jiang Bian · Nenghai Yu · Tie-Yan Liu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #49
Warped Convolutions: Efficient Invariance to Spatial Transformations
In Posters Mon
Joao Henriques · Andrea Vedaldi
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #50
McGan: Mean and Covariance Feature Matching GAN
In Posters Mon
Youssef Mroueh · Tom Sercu · Vaibhava Goel
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #51
Breaking Locality Accelerates Block Gauss-Seidel
In Posters Mon
Stephen Tu · Shivaram Venkataraman · Ashia Wilson · Alex Gittens · Michael Jordan · Benjamin Recht
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #52
Reinforcement Learning with Deep Energy-Based Policies
In Posters Mon
Tuomas Haarnoja · Haoran Tang · Pieter Abbeel · Sergey Levine
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #53
Scalable Bayesian Rule Lists
In Posters Mon
Hongyu Yang · Cynthia Rudin · Margo Seltzer
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #54
Identify the Nash Equilibrium in Static Games with Random Payoffs
In Posters Mon
Yichi Zhou · Jialian Li · Jun Zhu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #55
Partitioned Tensor Factorizations for Learning Mixed Membership Models
In Posters Mon
Zilong Tan · Sayan Mukherjee
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #56
Failures of Gradient-Based Deep Learning
In Posters Mon
Shaked Shammah · Shai Shalev-Shwartz · Ohad Shamir
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #57
Learning Infinite Layer Networks without the Kernel Trick
In Posters Mon
Roi Livni · Daniel Carmon · Amir Globerson
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #58
Graph-based Isometry Invariant Representation Learning
In Posters Mon
Renata Khasanova · Pascal Frossard
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #59
Conditional Image Synthesis with Auxiliary Classifier GANs
In Posters Mon
Augustus Odena · Christopher Olah · Jon Shlens
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #60
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
In Posters Mon
Hoai An Le Thi · Hoai Minh Le · Duy Nhat Phan · Bach Tran
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #61
Prediction and Control with Temporal Segment Models
In Posters Mon
Nikhil Mishra · Pieter Abbeel · Igor Mordatch
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #62
Learning Determinantal Point Processes with Moments and Cycles
In Posters Mon
John C Urschel · Ankur Moitra · Philippe Rigollet · Victor-Emmanuel Brunel
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #63
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
In Posters Mon
Zeyuan Allen-Zhu · Yuanzhi Li
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #64
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
In Posters Mon
Xueyu Mao · Purnamrita Sarkar · Deepayan Chakrabarti
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #65
Analytical Guarantees on Numerical Precision of Deep Neural Networks
In Posters Mon
Charbel Sakr · Yongjune Kim · Naresh Shanbhag
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #66
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
In Posters Mon
Haim Avron · Michael Kapralov · Cameron Musco · Christopher Musco · Ameya Velingker · Amir Zandieh
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #67
Deriving Neural Architectures from Sequence and Graph Kernels
In Posters Mon
Tao Lei · Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #68
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
In Posters Mon
Taeksoo Kim · Moonsu Cha · Hyunsoo Kim · Jungkwon Lee · Jiwon Kim
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #69
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
In Posters Mon
Junqi Tang · Mohammad Golbabaee · Michael E Davies
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #70
An Alternative Softmax Operator for Reinforcement Learning
In Posters Mon
Kavosh Asadi · Michael L. Littman
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #71
Deep Bayesian Active Learning with Image Data
In Posters Mon
Yarin Gal · Riashat Islam · Zoubin Ghahramani
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #72
On Kernelized Multi-armed Bandits
In Posters Mon
Sayak Ray Chowdhury · Aditya Gopalan
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #73
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
In Posters Mon
Jiali Mei · Yohann De Castro · Yannig Goude · Georges Hébrail
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #74
Follow the Moving Leader in Deep Learning
In Posters Mon
Shuai Zheng · James Kwok
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #75
Logarithmic Time One-Against-Some
In Posters Mon
Hal Daumé · Nikos Karampatziakis · John Langford · Paul Mineiro
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #76
Unsupervised Learning by Predicting Noise
In Posters Mon
Piotr Bojanowski · Armand Joulin
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #77
Wasserstein Generative Adversarial Networks
In Posters Mon
Martin Arjovsky · Soumith Chintala · Léon Bottou
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #78
Connected Subgraph Detection with Mirror Descent on SDPs
In Posters Mon
Cem Aksoylar · Orecchia Lorenzo · Venkatesh Saligrama
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #79
Fake News Mitigation via Point Process Based Intervention
In Posters Mon
Mehrdad Farajtabar · Jiachen Yang · Xiaojing Ye · Huan Xu · Rakshit Trivedi · Elias Khalil · Shuang Li · Le Song · Hongyuan Zha
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #80
Bayesian Boolean Matrix Factorisation
In Posters Mon
Tammo Rukat · Christopher Holmes · Michalis Titsias · Christopher Yau
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #81
Second-Order Kernel Online Convex Optimization with Adaptive Sketching
In Posters Mon
Daniele Calandriello · Alessandro Lazaric · Michal Valko
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #82
Frame-based Data Factorizations
In Posters Mon
Sebastian Mair · Ahcène Boubekki · Ulf Brefeld
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #83
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
In Posters Mon
Liang Zhao · Siyu Liao · Yanzhi Wang · Zhe Li · Jian Tang · Bo Yuan
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #84
Understanding Black-box Predictions via Influence Functions
In Posters Mon
Pang Wei Koh · Percy Liang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #85
Deep Transfer Learning with Joint Adaptation Networks
In Posters Mon
Mingsheng Long · Han Zhu · Jianmin Wang · Michael Jordan
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #86
Learning Hierarchical Features from Deep Generative Models
In Posters Mon
Shengjia Zhao · Jiaming Song · Stefano Ermon
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #87
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks
In Posters Mon
Mingyi Hong · Davood Hajinezhad · Ming-Min Zhao
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #88
Curiosity-driven Exploration by Self-supervised Prediction
In Posters Mon
Deepak Pathak · Pulkit Agrawal · Alexei Efros · Trevor Darrell
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #89
Learning the Structure of Generative Models without Labeled Data
In Posters Mon
Stephen Bach · Bryan He · Alexander J Ratner · Christopher Re
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #90
Dueling Bandits with Weak Regret
In Posters Mon
Bangrui Chen · Peter I Frazier
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #91
Nearly Optimal Robust Matrix Completion
In Posters Mon
Yeshwanth Cherapanamjeri · Prateek Jain · Kartik Gupta
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #92
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
In Posters Mon
Alon Brutzkus · Amir Globerson
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #93
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method
In Posters Mon
Chenzi Zhang · Shuguang Hu · Zhihao Gavin Tang · Hubert Chan
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #94
Meta Networks
In Posters Mon
Tsendsuren Munkhdalai · Hong Yu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #95
Bottleneck Conditional Density Estimation
In Posters Mon
Rui Shu · Hung Bui · Mohammad Ghavamzadeh
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #96
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
In Posters Mon
Jialei Wang · Lin Xiao
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #97
Interactive Learning from Policy-Dependent Human Feedback
In Posters Mon
James MacGlashan · Mark Ho · Robert Loftin · Bei Peng · Guan Wang · David L Roberts · Matthew E. Taylor · Michael L. Littman
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #98
Learning to Discover Sparse Graphical Models
In Posters Mon
Eugene Belilovsky · Kyle Kastner · Gael Varoquaux · Matthew B Blaschko
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #99
On Context-Dependent Clustering of Bandits
In Posters Mon
Claudio Gentile · Shuai Li · Purushottam Kar · Alexandros Karatzoglou · Giovanni Zappella · Evans Etrue Howard
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #100
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations
In Posters Mon
Yuanzhi Li · Yingyu Liang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #101
Convexified Convolutional Neural Networks
In Posters Mon
Yuchen Zhang · Percy Liang · Martin Wainwright
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #102
Self-Paced Co-training
In Posters Mon
Fan Ma · Deyu Meng · Qi Xie · Zina Li · Xuanyi Dong
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #103
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
In Posters Mon
Juyong Kim · Yookoon Park · Gunhee Kim · Sung Ju Hwang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #104
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo
In Posters Mon
Matthew Hoffman
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #105
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
In Posters Mon
Qi Lei · En-Hsu Yen · Chao-Yuan Wu · Inderjit Dhillon · Pradeep Ravikumar
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #106
End-to-End Differentiable Adversarial Imitation Learning
In Posters Mon
Nir Baram · Oron Anschel · Itai Caspi · Shie Mannor
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #107
Local-to-Global Bayesian Network Structure Learning
In Posters Mon
Tian Gao · Kshitij Fadnis · Murray Campbell
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #108
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
In Posters Mon
Lihong Li · Yu Lu · Dengyong Zhou
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #109
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
In Posters Mon
Rong Ge · Chi Jin · Yi Zheng
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #110
On the Expressive Power of Deep Neural Networks
In Posters Mon
Maithra Raghu · Ben Poole · Surya Ganguli · Jon Kleinberg · Jascha Sohl-Dickstein
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #111
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
In Posters Mon
Tomoya Sakai · Marthinus C du Plessis · Gang Niu · Masashi Sugiyama
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #112
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
In Posters Mon
Chelsea Finn · Pieter Abbeel · Sergey Levine
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #113
Zero-Inflated Exponential Family Embeddings
In Posters Mon
Liping Liu · David Blei
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #114
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
In Posters Mon
Tianbao Yang · Qihang Lin · Lijun Zhang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #115
Learning in POMDPs with Monte Carlo Tree Search
In Posters Mon
Sammie Katt · Frans A Oliehoek · Chris Amato
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #116
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data
In Posters Mon
XIUYAN NI · Novi Quadrianto · Yusu Wang · Chao Chen
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #117
Safety-Aware Algorithms for Adversarial Contextual Bandit
In Posters Mon
Wen Sun · Debadeepta Dey · Ashish Kapoor
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #118
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery
In Posters Mon
Mostafa Rahmani · George Atia
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #119
Depth-Width Tradeoffs in Approximating Natural Functions With Neural Networks
In Posters Mon
Itay Safran · Ohad Shamir
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #120
Iterative Machine Teaching
In Posters Mon
Weiyang Liu · Bo Dai · Ahmad Humayun · Charlene Tay · Chen Yu · Linda Smith · James Rehg · Le Song
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #121
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
In Posters Mon
Corinna Cortes · Xavi Gonzalvo · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #122
Convex Phase Retrieval without Lifting via PhaseMax
In Posters Mon
Tom Goldstein · Christoph Studer
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #123
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
In Posters Mon
Irina Higgins · Arka Pal · Andrei A Rusu · Loic Matthey · Christopher Burgess · Alexander Pritzel · Matthew Botvinick · Charles Blundell · Alexander Lerchner
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #124
On Relaxing Determinism in Arithmetic Circuits
In Posters Mon
Arthur Choi · Adnan Darwiche
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #125
Adaptive Multiple-Arm Identification
In Posters Mon
Jiecao Chen · Xi Chen · Qin Zhang · Yuan Zhou
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #126
Tensor Decomposition with Smoothness
In Posters Mon
Masaaki Imaizumi · Kohei Hayashi
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #127
Automated Curriculum Learning for Neural Networks
In Posters Mon
Alex Graves · Marc Bellemare · Jacob Menick · Remi Munos · Koray Kavukcuoglu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #128
Attentive Recurrent Comparators
In Posters Mon
Pranav Shyam · Shubham Gupta · Ambedkar Dukkipati
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #129
An Infinite Hidden Markov Model With Similarity-Biased Transitions
In Posters Mon
Colin Dawson · Chaofan Huang · Clayton T. Morrison
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #130
Efficient Nonmyopic Active Search
In Posters Mon
Shali Jiang · Luiz Gustavo Malkomes · Geoff Converse · Alyssa Shofner · Benjamin Moseley · Roman Garnett
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #131
Asymmetric Tri-training for Unsupervised Domain Adaptation
In Posters Mon
Kuniaki Saito · Yoshitaka Ushiku · Tatsuya Harada
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #132
State-Frequency Memory Recurrent Neural Networks
In Posters Mon
Hao Hu · Guo-Jun Qi
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #133
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
In Posters Mon
Zi Wang · Chengtao Li · Stefanie Jegelka · Pushmeet Kohli
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #134
Leveraging Union of Subspace Structure to Improve Constrained Clustering
In Posters Mon
John Lipor · Laura Balzano
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #135
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
In Posters Mon
PENGFEI WEI · Ramon Sagarna · Yiping Ke · Yew Soon ONG · CHI GOH
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #136
Delta Networks for Optimized Recurrent Network Computation
In Posters Mon
Daniel Neil · Jun Lee · Tobi Delbruck · Shih-Chii Liu
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #137
From Patches to Images: A Nonparametric Generative Model
In Posters Mon
Geng Ji · Michael Hughes · Erik Sudderth
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #138
Active Heteroscedastic Regression
In Posters Mon
Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #139
Multi-task Learning with Labeled and Unlabeled Tasks
In Posters Mon
Anastasia Pentina · Christoph H. Lampert
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #140
Recurrent Highway Networks
In Posters Mon
Julian Zilly · Rupesh Srivastava · Jan Koutnik · Jürgen Schmidhuber
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #141
Fast Bayesian Intensity Estimation for the Permanental Process
In Posters Mon
Christian Walder · Adrian N Bishop
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #142
Active Learning for Cost-Sensitive Classification
In Posters Mon
Akshay Krishnamurthy · Alekh Agarwal · Tzu-Kuo Huang · Hal Daumé III · John Langford
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #143
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
In Posters Mon
Ken Kansky · Thomas Silver · David A Mély · Mohamed Eldawy · Miguel Lazaro-Gredilla · Xinghua Lou · Nimrod Dorfman · Szymon Sidor · Scott Phoenix · Dileep George
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #144
A Birth-Death Process for Feature Allocation
In Posters Mon
Konstantina Palla · David Knowles · Zoubin Ghahramani
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #145
Diameter-Based Active Learning
In Posters Mon
Christopher Tosh · Sanjoy Dasgupta
Poster
Mon Aug 07 01:30 AM -- 05:00 AM (PDT) @ Gallery #146
Risk Bounds for Transferring Representations With and Without Fine-Tuning
In Posters Mon
Daniel McNamara · Nina Balcan
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #1
The loss surface of deep and wide neural networks
In Posters Tue
Quynh Nguyen · Matthias Hein
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #2
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
In Posters Tue
David Balduzzi · Brian McWilliams · Tony Butler-Yeoman
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #3
Sharp Minima Can Generalize For Deep Nets
In Posters Tue
Laurent Dinh · Razvan Pascanu · Samy Bengio · Yoshua Bengio
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #4
Geometry of Neural Network Loss Surfaces via Random Matrix Theory
In Posters Tue
Jeffrey Pennington · Yasaman Bahri
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #5
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
In Posters Tue
David Balduzzi · Marcus Frean · Wan-Duo Ma · Brian McWilliams · Lennox Leary · John Lewis
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #6
Learning to Learn without Gradient Descent by Gradient Descent
In Posters Tue
Yutian Chen · Matthew Hoffman · Sergio Gómez Colmenarejo · Misha Denil · Timothy Lillicrap · Matthew Botvinick · Nando de Freitas
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #7
A Semismooth Newton Method for Fast, Generic Convex Programming
In Posters Tue
Alnur Ali · Eric Wong · Zico Kolter
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #8
Unifying task specification in reinforcement learning
In Posters Tue
Martha White
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #9
Efficient Online Bandit Multiclass Learning with O(sqrt{T}) Regret
In Posters Tue
Alina Beygelzimer · Francesco Orabona · Chicheng Zhang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #10
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
In Posters Tue
Vatsal Sharan · Gregory Valiant
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #11
Learned Optimizers that Scale and Generalize
In Posters Tue
Olga Wichrowska · Niru Maheswaranathan · Matthew Hoffman · Sergio Gómez Colmenarejo · Misha Denil · Nando de Freitas · Jascha Sohl-Dickstein
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #12
Approximate Newton Methods and Their Local Convergence
In Posters Tue
Haishan Ye · Luo Luo · Zhihua Zhang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #13
A Distributional Perspective on Reinforcement Learning
In Posters Tue
Marc Bellemare · Will Dabney · Remi Munos
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #14
Active Learning for Accurate Estimation of Linear Models
In Posters Tue
Carlos Riquelme Ruiz · Mohammad Ghavamzadeh · Alessandro Lazaric
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #15
Tensor Decomposition via Simultaneous Power Iteration
In Posters Tue
Poan Wang · Chi-Jen Lu
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #16
Learning Gradient Descent: Better Generalization and Longer Horizons
In Posters Tue
Kaifeng Lyu · Shunhua Jiang · Jian Li
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #17
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
In Posters Tue
Chaoxu Zhou · Wenbo Gao · Donald Goldfarb
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #18
Hierarchy Through Composition with Multitask LMDPs
In Posters Tue
Andrew Saxe · Adam Earle · Benjamin Rosman
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #19
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
In Posters Tue
Satyen Kale · Zohar Karnin · Tengyuan Liang · David Pal
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #20
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery
In Posters Tue
Lingxiao Wang · Xiao Zhang · Quanquan Gu
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #21
Learning Algorithms for Active Learning
In Posters Tue
Philip Bachman · Alessandro Sordoni · Adam Trischler
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #22
Practical Gauss-Newton Optimisation for Deep Learning
In Posters Tue
Aleksandar Botev · Hippolyt Ritter · David Barber
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #23
A Laplacian Framework for Option Discovery in Reinforcement Learning
In Posters Tue
Marlos C. Machado · Marc Bellemare · Michael Bowling
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #24
Emulating the Expert: Inverse Optimization through Online Learning
In Posters Tue
Sebastian Pokutta · Andreas Bärmann · Oskar Schneider
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #25
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation
In Posters Tue
David Anderson · Ming Gu
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #26
Tensor Balancing on Statistical Manifold
In Posters Tue
Mahito Sugiyama · Hiroyuki Nakahara · Koji Tsuda
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #27
Modular Multitask Reinforcement Learning with Policy Sketches
In Posters Tue
Jacob Andreas · Dan Klein · Sergey Levine
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #28
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
In Posters Tue
Mahesh Chandra Mukkamala · Matthias Hein
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #29
Algorithms for $\ell_p$ Low-Rank Approximation
In Posters Tue
Flavio Chierichetti · Sreenivas Gollapudi · Ravi Kumar · Silvio Lattanzi · Rina Panigrahy · David Woodruff
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #30
Relative Fisher Information and Natural Gradient for Learning Large Modular Models
In Posters Tue
Ke Sun · Frank Nielsen
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #31
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
In Posters Tue
zakaria mhammedi · Andrew Hellicar · James Bailey · Ashfaqur Rahman
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #32
Lazifying Conditional Gradient Algorithms
In Posters Tue
Gábor Braun · Sebastian Pokutta · Daniel Zink
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #33
Data-Efficient Policy Evaluation Through Behavior Policy Search
In Posters Tue
Josiah Hanna · Philip S. Thomas · Peter Stone · Scott Niekum
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #34
Exact MAP Inference by Avoiding Fractional Vertices
In Posters Tue
Erik Lindgren · Alexandros Dimakis · Adam Klivans
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #35
Leveraging Node Attributes for Incomplete Relational Data
In Posters Tue
He Zhao · Lan Du · Wray Buntine
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #36
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?
In Posters Tue
Andreas Loukas
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #37
Distributed and Provably Good Seedings for k-Means in Constant Rounds
In Posters Tue
Olivier Bachem · Mario Lucic · Andreas Krause
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #38
Learning Deep Architectures via Generalized Whitened Neural Networks
In Posters Tue
Ping Luo
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #39
On orthogonality and learning RNNs with long term dependencies
In Posters Tue
Eugene Vorontsov · Chiheb Trabelsi · Christopher Pal · Samuel Kadoury
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #40
Conditional Accelerated Lazy Stochastic Gradient Descent
In Posters Tue
Guanghui · Sebastian Pokutta · Yi Zhou · Daniel Zink
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #41
Stochastic Variance Reduction Methods for Policy Evaluation
In Posters Tue
Simon Du · Jianshu Chen · Lihong Li · Lin Xiao · Dengyong Zhou
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #42
Exact Inference for Integer Latent-Variable Models
In Posters Tue
Kevin Winner · Debora Sujono · Daniel Sheldon
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #43
Bayesian inference on random simple graphs with power law degree distributions
In Posters Tue
Juho Lee · Creighton Heaukulani · Zoubin Ghahramani · Lancelot F. James · Seungjin Choi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #44
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
In Posters Tue
Zeyuan Allen-Zhu · Yuanzhi Li
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #45
Consistent k-Clustering
In Posters Tue
Silvio Lattanzi · Sergei Vassilvitskii
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #46
Continual Learning Through Synaptic Intelligence
In Posters Tue
Friedemann Zenke · Ben Poole · Surya Ganguli
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #47
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
In Posters Tue
Li Jing · Yichen Shen · Tena Dubcek · John E Peurifoy · Scott Skirlo · Yann LeCun · Max Tegmark · Marin Solja\v{c}i\'{c}
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #48
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
In Posters Tue
Lam Nguyen · Jie Liu · Katya Scheinberg · Martin Takac
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #49
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
In Posters Tue
Yu-Xiang Wang · Alekh Agarwal · Miroslav Dudik
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #50
Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms
In Posters Tue
Arturs Backurs · Christos Tzamos
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #51
Analogical Inference for Multi-relational Embeddings
In Posters Tue
Hanxiao Liu · Yuexin Wu · Yiming Yang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #52
Spectral Learning from a Single Trajectory under Finite-State Policies
In Posters Tue
Borja de Balle Pigem · Odalric Maillard
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #53
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
In Posters Tue
Bo Yang · Xiao Fu · Nicholas Sidiropoulos · Mingyi Hong
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #54
Adaptive Neural Networks for Efficient Inference
In Posters Tue
Tolga Bolukbasi · Joseph Wang · Ofer Dekel · Venkatesh Saligrama
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #55
The Statistical Recurrent Unit
In Posters Tue
Junier Oliva · Barnabás Póczos · Jeff Schneider
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #56
Approximate Steepest Coordinate Descent
In Posters Tue
Sebastian Stich · Anant Raj · Martin Jaggi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #57
Consistent On-Line Off-Policy Evaluation
In Posters Tue
Assaf Hallak · Shie Mannor
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #58
Variational Inference for Sparse and Undirected Models
In Posters Tue
John Ingraham · Debora Marks
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #59
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
In Posters Tue
Rakshit Trivedi · Hanjun Dai · Yichen Wang · Le Song
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #60
Capacity Releasing Diffusion for Speed and Locality.
In Posters Tue
Di Wang · Kimon Fountoulakis · Monika Henzinger · Michael Mahoney · Satish Rao
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #61
Hyperplane Clustering Via Dual Principal Component Pursuit
In Posters Tue
Manolis Tsakiris · Rene Vidal
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #62
Combined Group and Exclusive Sparsity for Deep Neural Networks
In Posters Tue
jaehong yoon · Sung Ju Hwang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #63
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
In Posters Tue
Jakob Foerster · Justin Gilmer · Jan Chorowski · Jascha Sohl-Dickstein · David Sussillo
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #64
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
In Posters Tue
Tyler Johnson · Carlos Guestrin
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #65
Contextual Decision Processes with low Bellman rank are PAC-Learnable
In Posters Tue
Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #66
Tensor Belief Propagation
In Posters Tue
Andrew Wrigley · Wee Sun Lee · Nan Ye
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #67
Deep Generative Models for Relational Data with Side Information
In Posters Tue
Changwei Hu · Piyush Rai · Lawrence Carin
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #68
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition
In Posters Tue
Zeyuan Allen-Zhu · Yuanzhi Li
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #69
Multilevel Clustering via Wasserstein Means
In Posters Tue
Nhat Ho · XuanLong Nguyen · Mikhail Yurochkin · Hung Bui · Viet Huynh · Dinh Phung
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #70
Online and Linear-Time Attention by Enforcing Monotonic Alignments
In Posters Tue
Colin Raffel · Thang Luong · Peter Liu · Ron Weiss · Douglas Eck
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #71
Stochastic modified equations and adaptive stochastic gradient algorithms
In Posters Tue
Qianxiao Li · Cheng Tai · Weinan E
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #72
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency
In Posters Tue
Ron Appel · Pietro Perona
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #73
Faster Greedy MAP Inference for Determinantal Point Processes
In Posters Tue
Insu Han · Prabhanjan Kambadur · Kyoungsoo Park · Jinwoo Shin
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #74
ChoiceRank: Identifying Preferences from Node Traffic in Networks
In Posters Tue
Lucas Maystre · Matthias Grossglauser
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #75
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit
In Posters Tue
Jie Shen · Ping Li
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #76
Uniform Deviation Bounds for k-Means Clustering
In Posters Tue
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #77
Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control
In Posters Tue
Natasha Jaques · Shixiang Gu · Dzmitry Bahdanau · Jose Miguel Hernandez-Lobato · Richard E Turner · Douglas Eck
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #78
Dissipativity Theory for Nesterov's Accelerated Method
In Posters Tue
Bin Hu · Laurent Lessard
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #79
Gradient Boosted Decision Trees for High Dimensional Sparse Output
In Posters Tue
Si Si · Huan Zhang · Sathiya Keerthi · Dhruv Mahajan · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #80
Zonotope hit-and-run for efficient sampling from projection DPPs
In Posters Tue
Guillaume Gautier · Rémi Bardenet · Michal Valko
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #81
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
In Posters Tue
Mohsen Ahmadi Fahandar · Eyke Hüllermeier · Ines Couso
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #82
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
In Posters Tue
Bo Liu · Xiaotong Yuan · Lezi Wang · Qingshan Liu · Dimitris Metaxas
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #83
Uniform Convergence Rates for Kernel Density Estimation
In Posters Tue
Heinrich Jiang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #84
Deep Voice: Real-time Neural Text-to-Speech
In Posters Tue
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 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #85
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
In Posters Tue
Yuandong Tian
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #86
Globally Induced Forest: A Prepruning Compression Scheme
In Posters Tue
Jean-Michel Begon · Arnaud Joly · Pierre Geurts
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #87
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI
In Posters Tue
Justin Domke
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #88
Just Sort It! A Simple and Effective Approach to Active Preference Learning
In Posters Tue
Lucas Maystre · Matthias Grossglauser
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #89
On The Projection Operator to A Three-view Cardinality Constrained Set
In Posters Tue
Haichuan Yang · Shupeng Gui · Chuyang Ke · Daniel Stefankovic · Ryohei Fujimaki · Ji Liu
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #90
Density Level Set Estimation on Manifolds with DBSCAN
In Posters Tue
Heinrich Jiang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #91
DeepBach: a Steerable Model for Bach Chorales Generation
In Posters Tue
Gaëtan HADJERES · François Pachet · Frank Nielsen
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #92
Forward and Reverse Gradient-Based Hyperparameter Optimization
In Posters Tue
Luca Franceschi · Michele Donini · Paolo Frasconi · Massimiliano Pontil
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #93
Forest-type Regression with General Losses and Robust Forest
In Posters Tue
Hanbo Li · Andrew Martin
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #94
On the Sampling Problem for Kernel Quadrature
In Posters Tue
Francois-Xavier Briol · Chris J Oates · Jon Cockayne · Wilson Ye Chen · Mark Girolami
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #95
Maximum Selection and Ranking under Noisy Comparisons
In Posters Tue
Moein Falahatgar · Alon Orlitsky · Venkatadheeraj Pichapati · Ananda Theertha Suresh
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #96
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
In Posters Tue
Eunho Yang · Aurelie Lozano
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #97
Algorithmic Stability and Hypothesis Complexity
In Posters Tue
Tongliang Liu · Gábor Lugosi · Gergely Neu · Dacheng Tao
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #98
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
In Posters Tue
Cinjon Resnick · Adam Roberts · Jesse Engel · Douglas Eck · Sander Dieleman · Karen Simonyan · Mohammad Norouzi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #99
Adaptive Sampling Probabilities for Non-Smooth Optimization
In Posters Tue
Hongseok Namkoong · Aman Sinha · Steven Yadlowsky · John Duchi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #100
Confident Multiple Choice Learning
In Posters Tue
Kimin Lee · Changho Hwang · KyoungSoo Park · Jinwoo Shin
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #101
Measuring Sample Quality with Kernels
In Posters Tue
Jackson Gorham · Lester Mackey
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #102
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons
In Posters Tue
Soheil Mohajer · Changho Suh · Adel Elmahdy
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #103
Compressed Sensing using Generative Models
In Posters Tue
Ashish Bora · Ajil Jalal · Eric Price · Alexandros Dimakis
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #104
Consistency Analysis for Binary Classification Revisited
In Posters Tue
Krzysztof Dembczynski · Wojciech Kotlowski · Sanmi Koyejo · Nagarajan Natarajan
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #105
A Closer Look at Memorization in Deep Networks
In Posters Tue
David Krueger · Yoshua Bengio · Stanislaw Jastrzebski · Maxinder S. Kanwal · Nicolas Ballas · Asja Fischer · Emmanuel Bengio · Devansh Arpit · Tegan Maharaj · Aaron Courville · Simon Lacoste-Julien
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #106
Learning to Generate Long-term Future via Hierarchical Prediction
In Posters Tue
Ruben Villegas · Jimei Yang · Yuliang Zou · Sungryull Sohn · Xunyu Lin · Honglak Lee
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #107
Sub-sampled Cubic Regularization for Non-convex Optimization
In Posters Tue
Jonas Kohler · Aurelien Lucchi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #108
Regret Minimization in Behaviorally-Constrained Zero-Sum Games
In Posters Tue
Gabriele Farina · Christian Kroer · Tuomas Sandholm
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #109
Variational Boosting: Iteratively Refining Posterior Approximations
In Posters Tue
Andrew Miller · Nicholas J Foti · Ryan P. Adams
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #110
Learning to Align the Source Code to the Compiled Object Code
In Posters Tue
Dor Levy · Lior Wolf
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #111
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
In Posters Tue
Weizhong Zhang · Bin Hong · Wei Liu · Jieping Ye · Deng Cai · Xiaofei He · Jie Wang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #112
Distributed Mean Estimation with Limited Communication
In Posters Tue
Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #113
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
In Posters Tue
Samuel Ritter · David GT Barrett · Adam Santoro · Matthew Botvinick
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #114
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
In Posters Tue
Jonas Mueller · David Gifford · Tommi Jaakkola
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #115
Natasha: Faster Non-Convex Stochastic Optimization Via Strongly Non-Convex Parameter
In Posters Tue
Zeyuan Allen-Zhu
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #116
Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning
In Posters Tue
Noam Brown · Tuomas Sandholm
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #117
Lost Relatives of the Gumbel Trick
In Posters Tue
Matej Balog · Nilesh Tripuraneni · Zoubin Ghahramani · Adrian Weller
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #118
RobustFill: Neural Program Learning under Noisy I/O
In Posters Tue
Jacob Devlin · Jonathan Uesato · Surya Bhupatiraju · Rishabh Singh · Abdelrahman Mohammad · Pushmeet Kohli
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #119
Efficient Distributed Learning with Sparsity
In Posters Tue
Jialei Wang · Mladen Kolar · Nati Srebro · Tong Zhang
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #120
Nonparanormal Information Estimation
In Posters Tue
Shashank Singh · Barnabás Póczos
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #121
Visualizing and Understanding Multilayer Perceptron Models: A Case Study in Speech Processing
In Posters Tue
Tasha Nagamine · Nima Mesgarani
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #122
Tensor-Train Recurrent Neural Networks for Video Classification
In Posters Tue
Yinchong Yang · Denis Krompass · Volker Tresp
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #123
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
In Posters Tue
Yair Carmon · John Duchi · Oliver Hinder · Aaron Sidford
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #124
Strongly-Typed Agents are Guaranteed to Interact Safely
In Posters Tue
David Balduzzi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #125
Learning to Aggregate Ordinal Labels by Maximizing Separating Width
In Posters Tue
Guangyong Chen · Shengyu Zhang · Di Lin · Hui Huang · Pheng Ann Heng
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #126
Programming with a Differentiable Forth Interpreter
In Posters Tue
Matko Bošnjak · Tim Rocktäschel · Jason Naradowsky · Sebastian Riedel
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #127
Innovation Pursuit: A New Approach to the Subspace Clustering Problem
In Posters Tue
Mostafa Rahmani · George Atia
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #128
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions
In Posters Tue
Jayadev Acharya · Hirakendu Das · Alon Orlitsky · Ananda Suresh
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #129
Axiomatic Attribution for Deep Networks
In Posters Tue
Mukund Sundararajan · Ankur Taly · Qiqi Yan
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #130
Sequence Modeling via Segmentations
In Posters Tue
Chong Wang · Yining Wang · Po-Sen Huang · Abdelrahman Mohammad · Dengyong Zhou · Li Deng
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #131
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
In Posters Tue
Qunwei Li · Yi Zhou · Yingbin Liang · Pramod K Varshney
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #132
Coordinated Multi-Agent Imitation Learning
In Posters Tue
Hoang Le · Yisong Yue · Peter Carr · Patrick Lucey
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #133
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer
In Posters Tue
Pengtao Xie · Aarti Singh · Eric Xing
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #134
Differentiable Programs with Neural Libraries
In Posters Tue
Alex Gaunt · Marc Brockschmidt · Nate Kushman · Daniel Tarlow
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #135
Selective Inference for Sparse High-Order Interaction Models
In Posters Tue
Shinya Suzumura · Kazuya Nakagawa · Yuta Umezu · Koji Tsuda · Ichiro Takeuchi
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #136
Gradient Coding: Avoiding Stragglers in Distributed Learning
In Posters Tue
Rashish Tandon · Qi Lei · Alexandros Dimakis · Nikos Karampatziakis
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #137
On Calibration of Modern Neural Networks
In Posters Tue
Chuan Guo · Geoff Pleiss · Yu Sun · Kilian Weinberger
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #138
Latent LSTM Allocation: Joint clustering and non-linear dynamic modeling of sequence data
In Posters Tue
Manzil Zaheer · Amr Ahmed · Alex Smola
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #139
How to Escape Saddle Points Efficiently
In Posters Tue
Chi Jin · Rong Ge · Praneeth Netrapalli · Sham Kakade · Michael Jordan
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #140
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
In Posters Tue
Shayegan Omidshafiei · Jason Pazis · Chris Amato · Jonathan How · John L Vian
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #141
Learning Latent Space Models with Angular Constraints
In Posters Tue
Pengtao Xie · Yuntian Deng · Yi Zhou · Abhimanu Kumar · Yaoliang Yu · James Zou · Eric Xing
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #142
Developing Bug-Free Machine Learning Systems With Formal Mathematics
In Posters Tue
Daniel Selsam · Percy Liang · David L Dill
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #143
Dictionary Learning Based on Sparse Distribution Tomography
In Posters Tue
Pedram Pad · Farnood Salehi · L. Elisa Celis · Patrick Thiran · Michael Unser
Poster
Tue Aug 08 01:30 AM -- 05:00 AM (PDT) @ Gallery #144
Learning Discrete Representations via Information Maximizing Self-Augmented Training
In Posters Tue
Weihua Hu · Takeru Miyato · Seiya Tokui · Eiichi Matsumoto · Masashi Sugiyama
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #1
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
In Posters Wed
Shusen Wang · Alex Gittens · Michael Mahoney
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #2
Estimating the unseen from multiple populations
In Posters Wed
Aditi Raghunathan · Greg Valiant · James Zou
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #3
Meritocratic Fairness for Cross-Population Selection
In Posters Wed
Michael Kearns · Aaron Roth · Steven Wu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #4
Neural networks and rational functions
In Posters Wed
Matus Telgarsky
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #5
Input Convex Neural Networks
In Posters Wed
Brandon Amos · Lei Xu · Zico Kolter
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #6
Co-clustering through Optimal Transport
In Posters Wed
Charlotte Laclau · Ievgen Redko · Basarab Matei · Younès Bennani · Vincent Brault
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #7
OptNet: Differentiable Optimization as a Layer in Neural Networks
In Posters Wed
Brandon Amos · Zico Kolter
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #8
Multiple Clustering Views from Multiple Uncertain Experts
In Posters Wed
Yale Chang · Junxiang Chen · Michael Cho · Peter Castaldi · Edwin Silverman · Jennifer Dy
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #9
Parseval Networks: Improving Robustness to Adversarial Examples
In Posters Wed
Moustapha Cisse · Piotr Bojanowski · Edouard Grave · Yann Dauphin · Nicolas Usunier
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #10
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
In Posters Wed
Ashkan Panahi · Devdatt Dubhashi · Fredrik D Johansson · Chiranjib Bhattacharya
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #11
Regularising Non-linear Models Using Feature Side-information
In Posters Wed
maolaaisha aminanmu · Pablo Strasser · Alexandros Kalousis
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #12
Clustering High Dimensional Dynamic Data Streams
In Posters Wed
Lin Yang · Harry Lang · Christian Sohler · Vladimir Braverman · Gereon Frahling
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #13
Fast k-Nearest Neighbour Search via Prioritized DCI
In Posters Wed
Ke Li · Jitendra Malik
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #14
Deep Spectral Clustering Learning
In Posters Wed
Marc Law · Raquel Urtasun · Richard Zemel
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #15
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
In Posters Wed
Mehrtash Harandi · Mathieu Salzmann · Richard I Hartley
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #16
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
In Posters Wed
Chirag Gupta · ARUN SUGGALA · Ankit Goyal · Saurabh Goyal · Ashish Kumar · Bhargavi Paranjape · Harsha Vardhan Simhadri · Raghavendra Udupa · Manik Varma · Prateek Jain
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #17
Device Placement Optimization with Reinforcement Learning
In Posters Wed
Azalia Mirhoseini · Hieu Pham · Quoc Le · benoit steiner · Mohammad Norouzi · Rasmus Larsen · Yuefeng Zhou · Naveen Kumar · Samy Bengio · Jeff Dean
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #18
Dynamic Word Embeddings
In Posters Wed
Robert Bamler · Stephan Mandt
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #19
Asynchronous Stochastic Gradient Descent with Delay Compensation
In Posters Wed
Shuxin Zheng · Qi Meng · Taifeng Wang · Wei Chen · Nenghai Yu · Zhiming Ma · Tie-Yan Liu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #20
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
In Posters Wed
Po-Wei Chou · Daniel Maturana · Sebastian Scherer
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #21
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for MCMC
In Posters Wed
Umut Simsekli
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #22
Preferential Bayesian Optmization
In Posters Wed
Javier González · Zhenwen Dai · Andreas Damianou · Neil Lawrence
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #23
Being Robust (in High Dimensions) Can Be Practical
In Posters Wed
Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Ankur Moitra · Alistair Stewart
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #24
Differentially Private Ordinary Least Squares
In Posters Wed
Or Sheffet
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #25
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications
In Posters Wed
Hao Zhou · Yilin Zhang · Vamsi Krishna Ithapu · Sterling Johnson · Grace Wahba · Vikas Singh
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #26
Deep Tensor Convolution on Multicores
In Posters Wed
David Budden · Alexander Matveev · Shibani Santurkar · Shraman Ray Chaudhuri · Nir Shavit
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #27
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
In Posters Wed
Hairong Liu · Zhenyao Zhu · Xiangang Li · Sanjeev Satheesh
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #28
Adaptive Consensus ADMM for Distributed Optimization
In Posters Wed
Zheng Xu · Gavin Taylor · Hao Li · Mario Figueiredo · Xiaoming Yuan · Tom Goldstein
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #29
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
In Posters Wed
Yevgen Chebotar · Karol Hausman · Marvin Zhang · Gaurav Sukhatme · Stefan Schaal · Sergey Levine
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #30
Stochastic Bouncy Particle Sampler
In Posters Wed
Ari Pakman · Dar Gilboa · David Carlson · Liam Paninski
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #31
Max-value Entropy Search for Efficient Bayesian Optimization
In Posters Wed
Zi Wang · Stefanie Jegelka
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #32
Multilabel Classification with Group Testing and Codes
In Posters Wed
Shashanka Ubaru · Arya Mazumdar
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #33
Priv’IT: Private and Sample Efficient Identity Testing
In Posters Wed
Bryan Cai · Constantinos Daskalakis · Gautam Kamath
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #34
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
In Posters Wed
Ahmed M. Alaa · Scott B Hu · Mihaela van der Schaar
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #35
MEC: Memory-efficient Convolution for Deep Neural Network
In Posters Wed
Minsik Cho · Daniel Brand
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #36
Coupling Distributed and Symbolic Execution for Natural Language Queries
In Posters Wed
Lili Mou · Zhengdong Lu · Hang Li · Zhi Jin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #37
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
In Posters Wed
Kevin Scaman · Francis Bach · Sebastien Bubeck · Yin Tat Lee · Laurent Massoulié
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #38
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control
In Posters Wed
Yunpeng Pan · Xinyan Yan · Evangelos Theodorou · Byron Boots
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #39
Canopy --- Fast Sampling with Cover Trees
In Posters Wed
Manzil Zaheer · Satwik Kottur · Amr Ahmed · Jose Moura · Alex Smola
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #40
Bayesian Optimization with Tree-structured Dependencies
In Posters Wed
Rodolphe Jenatton · Cedric Archambeau · Javier González · Matthias Seeger
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #41
High-Dimensional Structured Quantile Regression
In Posters Wed
Vidyashankar Sivakumar · Arindam Banerjee
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #42
Differentially Private Submodular Maximization: Data Summarization in Disguise
In Posters Wed
Marko Mitrovic · Mark Bun · Andreas Krause · Amin Karbasi
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #43
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
In Posters Wed
Joseph Futoma · Sanjay Hariharan · Katherine Heller
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #44
Beyond Filters: Compact Feature Map for Portable Deep Model
In Posters Wed
Yunhe Wang · Chang Xu · Chao Xu · Dacheng Tao
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #45
Image-to-Markup Generation with Coarse-to-Fine Attention
In Posters Wed
Yuntian Deng · Anssi Kanervisto · Jeffrey Ling · Alexander Rush
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #46
Projection-free Distributed Online Learning in Networks
In Posters Wed
Wenpeng Zhang · Peilin Zhao · Wenwu Zhu · Steven Hoi · Tong Zhang
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #47
Learning Stable Stochastic Nonlinear Dynamical Systems
In Posters Wed
Jonas Umlauft · Sandra Hirche
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #48
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization
In Posters Wed
Jianbo Ye · James Wang · Jia Li
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #49
Multi-fidelity Bayesian Optimisation with Continuous Approximations
In Posters Wed
kirthevasan kandasamy · Gautam Dasarathy · Barnabás Póczos · Jeff Schneider
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #50
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
In Posters Wed
Zhuoran Yang · Krishnakumar Balasubramanian · Han Liu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #51
Differentially Private Learning of Graphical Models using CGMs
In Posters Wed
Garrett Bernstein · Ryan McKenna · Tao Sun · Daniel Sheldon · Michael Hay · Gerome Miklau
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #52
iSurvive: An Interpretable, Event-time Prediction Model for mHealth
In Posters Wed
Walter Dempsey · Alexander Moreno · James Rehg · Susan Murphy · Chris Scott · Michael Dennis · David Gustafson
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #53
Efficient softmax approximation for GPUs
In Posters Wed
Edouard Grave · Armand Joulin · Moustapha Cisse · David Grangier · Herve Jegou
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #54
Multichannel End-to-end Speech Recognition
In Posters Wed
Tsubasa Ochiai · Shinji Watanabe · Takaaki Hori · John Hershey
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #55
Local Bayesian Optimization of Motor Skills
In Posters Wed
Riadh Akrour · Dmitry Sorokin · Jan Peters · Gerhard Neumann
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #56
Improving Gibbs Sampler Scan Quality with DoGS
In Posters Wed
Ioannis Mitliagkas · Lester Mackey
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #57
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
In Posters Wed
Jose Miguel Hernandez-Lobato · James Requeima · Edward Pyzer-Knapp · Alan Aspuru-Guzik
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #58
Robust Structured Estimation with Single-Index Models
In Posters Wed
Sheng Chen · Arindam Banerjee
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #59
Minimizing Trust Leaks for Robust Sybil Detection
In Posters Wed
János Höner · Shinichi Nakajima · Alexander Bauer · Klaus-robert Mueller · Nico Görnitz
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #60
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
In Posters Wed
Mingmin Zhao · Shichao Yue · Dina Katabi · Tommi Jaakkola · Matt Bianchi
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #61
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
In Posters Wed
Yingzhen Li · Yarin Gal
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #62
Latent Intention Dialogue Models
In Posters Wed
Tsung-Hsien Wen · Yishu Miao · Phil Blunsom · Stephen J Young
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #63
Robust Guarantees of Stochastic Greedy Algorithms
In Posters Wed
Yaron Singer · Avinatan Hassidim
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #64
Count-Based Exploration with Neural Density Models
In Posters Wed
Georg Ostrovski · Marc Bellemare · Aäron van den Oord · Remi Munos
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #65
Magnetic Hamiltonian Monte Carlo
In Posters Wed
Nilesh Tripuraneni · Mark Rowland · Zoubin Ghahramani · Richard E Turner
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #66
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
In Posters Wed
Aditya Chaudhry · Pan Xu · Quanquan Gu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #67
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data
In Posters Wed
Xixian Chen · Michael Lyu · Irwin King
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #68
The Price of Differential Privacy For Online Learning
In Posters Wed
Naman Agarwal · Karan Singh
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #69
Bidirectional learning for time-series models with hidden units
In Posters Wed
Takayuki Osogami · Hiroshi Kajino · Taro Sekiyama
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #70
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
In Posters Wed
Christos Louizos · Max Welling
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #71
Discovering Discrete Latent Topics with Neural Variational Inference
In Posters Wed
Yishu Miao · Edward Grefenstette · Phil Blunsom
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #72
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
In Posters Wed
Yatao Bian · Joachim Buhmann · Andreas Krause · Sebastian Tschiatschek
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #73
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
In Posters Wed
Junhyuk Oh · Satinder Singh · Honglak Lee · Pushmeet Kohli
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #74
Probabilistic Path Hamiltonian Monte Carlo
In Posters Wed
Vu Dinh · Arman Bilge · Cheng Zhang · Frederick Matsen
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #75
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
In Posters Wed
Massil Achab · Emmanuel Bacry · Stéphane Gaïffas · Iacopo Mastromatteo · Jean-François Muzy
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #76
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption
In Posters Wed
Lingxiao Wang · Quanquan Gu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #77
Pain-Free Random Differential Privacy with Sensitivity Sampling
In Posters Wed
Benjamin Rubinstein · Francesco Aldà
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #78
Learning Hawkes Processes from Short Doubly-Censored Event Sequences
In Posters Wed
Hongteng Xu · Dixin Luo · Hongyuan Zha
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #79
Variational Dropout Sparsifies Deep Neural Networks
In Posters Wed
Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #80
Toward Controlled Generation of Text
In Posters Wed
Zhiting Hu · Zichao Yang · Xiaodan Liang · Ruslan Salakhutdinov · Eric Xing
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #81
Robust Submodular Maximization: A Non-Uniform Partitioning Approach
In Posters Wed
Ilija Bogunovic · Slobodan Mitrovic · Jonathan Scarlett · Volkan Cevher
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #82
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
In Posters Wed
Jakob Foerster · Nantas Nardelli · Gregory Farquhar · Triantafyllos Afouras · Phil Torr · Pushmeet Kohli · Shimon Whiteson
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #83
Stochastic Gradient Monomial Gamma Sampler
In Posters Wed
Yizhe Zhang · Changyou Chen · Zhe Gan · Ricardo Henao · Lawrence Carin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #84
Cost-Optimal Learning of Causal Graphs
In Posters Wed
Murat Kocaoglu · Alexandros Dimakis · Sriram Vishwanath
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #85
Algebraic Variety Models for High-Rank Matrix Completion
In Posters Wed
Greg Ongie · Laura Balzano · Rebecca Willett · Robert Nowak
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #86
Differentially Private Clustering in High-Dimensional Euclidean Spaces
In Posters Wed
Nina Balcan · Travis Dick · Yingyu Liang · Wenlong Mou · Hongyang Zhang
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #87
Coherent probabilistic forecasts for hierarchical time series
In Posters Wed
Souhaib Ben Taieb · James Taylor · Rob Hyndman
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #88
Unimodal Probability Distributions for Deep Ordinal Classification
In Posters Wed
Christopher Beckham · Christopher Pal
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #89
Adversarial Feature Matching for Text Generation
In Posters Wed
Yizhe Zhang · Zhe Gan · Kai Fan · Zhi Chen · Ricardo Henao · Dinghan Shen · Lawrence Carin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #90
Probabilistic Submodular Maximization in Sub-Linear Time
In Posters Wed
Serban A Stan · Morteza Zadimoghaddam · Andreas Krause · Amin Karbasi
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #91
The Predictron: End-To-End Learning and Planning
In Posters Wed
David Silver · Hado van Hasselt · Matteo Hessel · Tom Schaul · Arthur Guez · Tim Harley · Gabriel Dulac-Arnold · David Reichert · Neil Rabinowitz · Andre Barreto · Thomas Degris
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #92
Stochastic Gradient MCMC Methods for Hidden Markov Models
In Posters Wed
Yi-An Ma · Nicholas J Foti · Emily Fox
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #93
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables
In Posters Wed
Bryant Chen · Daniel Kumor · Elias Bareinboim
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #94
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm
In Posters Wed
Rongda Zhu · Lingxiao Wang · Chengxiang Zhai · Quanquan Gu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #95
Differentially Private Chi-squared Test by Unit Circle Mechanism
In Posters Wed
Kazuya Kakizaki · Kazuto Fukuchi · Jun Sakuma
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #96
Soft-DTW: a Differentiable Loss Function for Time-Series
In Posters Wed
Marco Cuturi · Mathieu Blondel
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #97
Learning Continuous Semantic Representations of Symbolic Expressions
In Posters Wed
Miltiadis Allamanis · pankajan Chanthirasegaran · Pushmeet Kohli · Charles Sutton
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #98
On Approximation Guarantees for Greedy Low Rank Optimization
In Posters Wed
RAJIV KHANNA · Ethan R. Elenberg · Alexandros Dimakis · Joydeep Ghosh · Sahand Negahban
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #99
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
In Posters Wed
Oron Anschel · Nir Baram · Nahum Shimkin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #100
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
In Posters Wed
Yulai Cong · Bo Chen · Hongwei Liu · Mingyuan Zhou
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #101
Estimating individual treatment effect: generalization bounds and algorithms
In Posters Wed
Uri Shalit · Fredrik D Johansson · David Sontag
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #102
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
In Posters Wed
Kai Zheng · Wenlong Mou · Liwei Wang
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #103
Variational Policy for Guiding Point Processes
In Posters Wed
Yichen Wang · Grady Williams · Evangelos Theodorou · Le Song
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #104
Dance Dance Convolution
In Posters Wed
Chris Donahue · Zachary Lipton · Julian McAuley
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #105
Language Modeling with Gated Convolutional Networks
In Posters Wed
Yann Dauphin · Angela Fan · Michael Auli · David Grangier
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #106
Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten"
In Posters Wed
Baharan Mirzasoleiman · Amin Karbasi · Andreas Krause
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #107
FeUdal Networks for Hierarchical Reinforcement Learning
In Posters Wed
Alexander Vezhnevets · Simon Osindero · Tom Schaul · Nicolas Heess · Max Jaderberg · David Silver · Koray Kavukcuoglu
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #108
Distributed Batch Gaussian Process Optimization
In Posters Wed
Erik Daxberger · Bryan Kian Hsiang Low
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #109
Recursive Partitioning for Personalization using Observational Data
In Posters Wed
Nathan Kallus
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #110
Optimal Densification for Fast and Accurate Minwise Hashing
In Posters Wed
Anshumali Shrivastava
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #111
An Adaptive Test of Independence with Analytic Kernel Embeddings
In Posters Wed
Wittawat Jitkrittum · Zoltan Szabo · Arthur Gretton
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #112
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
In Posters Wed
Michael Gygli · Mohammad Norouzi · Anelia Angelova
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #113
World of Bits: An Open-Domain Platform for Web-Based Agents
In Posters Wed
Tim Shi · Andrej Karpathy · Jim Fan · Jonathan Hernandez · Percy Liang
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #114
Convolutional Sequence to Sequence Learning
In Posters Wed
Jonas Gehring · Michael Auli · David Grangier · Denis Yarats · Yann Dauphin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #115
Analysis and Optimization of Graph Decompositions by Lifted Multicuts
In Posters Wed
Andrea Hornakova · Jan-Hendrik Lange · Bjoern Andres
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #116
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
In Posters Wed
Mason McGill · Pietro Perona
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #117
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation
In Posters Wed
Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #118
Identifying Best Interventions through Online Importance Sampling
In Posters Wed
Rajat Sen · Karthikeyan Shanmugam · Alexandros Dimakis · Sanjay Shakkottai
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #119
Stochastic Generative Hashing
In Posters Wed
Bo Dai · Ruiqi Guo · Sanjiv Kumar · Niao He · Le Song
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #120
Sliced Wasserstein Kernel for Persistence Diagrams
In Posters Wed
Mathieu Carrière · Marco Cuturi · Steve Oudot
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #121
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
In Posters Wed
Wen Sun · Arun Venkatraman · Geoff Gordon · Byron Boots · Drew Bagnell
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #122
Real-Time Adaptive Image Compression
In Posters Wed
Oren Rippel · Lubomir Bourdev
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #123
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
In Posters Wed
Zichao Yang · Zhiting Hu · Ruslan Salakhutdinov · Taylor Berg-Kirkpatrick
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #124
Near-Optimal Design of Experiments via Regret Minimization
In Posters Wed
Zeyuan Allen-Zhu · Yuanzhi Li · Aarti Singh · Yining Wang
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #125
Neural Episodic Control
In Posters Wed
Alexander Pritzel · Benigno Uria · Srinivasan Sriram · Adrià Puigdomenech Badia · Oriol Vinyals · Demis Hassabis · Daan Wierstra · Charles Blundell
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #126
Random Feature Expansions for Deep Gaussian Processes
In Posters Wed
Kurt Cutajar · Edwin Bonilla · Pietro Michiardi · Maurizio Filippone
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #127
Deep IV: A Flexible Approach for Counterfactual Prediction
In Posters Wed
Jason Hartford · Greg Lewis · Kevin Leyton-Brown · Matt Taddy
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #128
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
In Posters Wed
Hantian Zhang · Jerry Li · Kaan Kara · Dan Alistarh · Ji Liu · Ce Zhang
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #129
Adapting Kernel Representations Online Using Submodular Maximization
In Posters Wed
Matthew Schlegel · Yangchen Pan · Jiecao Chen · Martha White
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #130
End-to-End Learning for Structured Prediction Energy Networks
In Posters Wed
David Belanger · Bishan Yang · Andrew McCallum
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #131
Neural Message Passing for Quantum Chemistry
In Posters Wed
Justin Gilmer · Samuel Schoenholz · Patrick F Riley · Oriol Vinyals · George Dahl
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #132
Grammar Variational Autoencoder
In Posters Wed
Matt J. Kusner · Brooks Paige · Jose Miguel Hernandez-Lobato
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #133
Robust Budget Allocation via Continuous Submodular Functions
In Posters Wed
Matthew J Staib · Stefanie Jegelka
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #134
Neural Optimizer Search using Reinforcement Learning
In Posters Wed
Irwan Bello · Barret Zoph · Vijay Vasudevan · Quoc Le
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #135
Asynchronous Distributed Variational Gaussian Processes for Regression
In Posters Wed
Hao Peng · Shandian Zhe · Xiao Zhang · Yuan Qi
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #136
Counterfactual Data-Fusion for Online Reinforcement Learners
In Posters Wed
Andrew Forney · Judea Pearl · Elias Bareinboim
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #137
Large-Scale Evolution of Image Classifiers
In Posters Wed
Esteban Real · Sherry Moore · Andrew Selle · Saurabh Saxena · Yutaka Leon Suematsu · Jie Tan · Quoc Le · Alexey Kurakin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #138
Spherical Structured Feature Maps for Kernel Approximation
In Posters Wed
Yueming LYU
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #139
A Unified View of Multi-Label Performance Measures
In Posters Wed
Xi-Zhu Wu · Zhi-Hua Zhou
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #140
Accelerating Eulerian Fluid Simulation With Convolutional Networks
In Posters Wed
Jonathan Tompson · Kristofer D Schlachter · Pablo Sprechmann · Ken Perlin
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #141
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement
In Posters Wed
Jonathan Eckstein · Noam Goldberg · Ai Kagawa
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #142
High Dimensional Bayesian Optimization with Elastic Gaussian Process
In Posters Wed
Santu Rana · Cheng Li · Sunil Gupta · Vu Nguyen · Svetha Venkatesh
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #143
Nyström Method with Kernel K-means++ Samples as Landmarks
In Posters Wed
Dino Oglic · Thomas Gaertner
Poster
Wed Aug 09 01:30 AM -- 05:00 AM (PDT) @ Gallery #144
Scalable Generative Models for Multi-label Learning with Missing Labels
In Posters Wed
Vikas Jain · Nirbhay Modhe · Piyush Rai