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Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery
Asynchronous Distributed Variational Gaussian Processes for Regresssion
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #1
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
Shusen Wang · Alex Gittens · Michael Mahoney
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #2
Estimating the unseen from multiple populations
Aditi Raghunathan · Greg Valiant · James Zou
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #3
Meritocratic Fairness for Cross-Population Selection
Michael Kearns · Aaron Roth · Steven Wu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #4
Neural networks and rational functions
Matus Telgarsky
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #5
Input Convex Neural Networks
Brandon Amos · Lei Xu · Zico Kolter
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #6
Co-clustering through Optimal Transport
Charlotte Laclau · Ievgen Redko · Basarab Matei · Younès Bennani · Vincent Brault
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #7
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos · Zico Kolter
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #8
Multiple Clustering Views from Multiple Uncertain Experts
Yale Chang · Junxiang Chen · Michael Cho · Peter Castaldi · Edwin Silverman · Jennifer G Dy
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #9
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse · Piotr Bojanowski · Edouard Grave · Yann Dauphin · Nicolas Usunier
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #10
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Ashkan Panahi · Devdatt Dubhashi · Fredrik D Johansson · Chiranjib Bhattacharya
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #11
Regularising Non-linear Models Using Feature Side-information
Amina Mollaysa · Pablo Strasser · Alexandros Kalousis
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #12
Clustering High Dimensional Dynamic Data Streams
Lin Yang · Harry Lang · Christian Sohler · Vladimir Braverman · Gereon Frahling
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #13
Fast k-Nearest Neighbour Search via Prioritized DCI
Ke Li · Jitendra Malik
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #14
Deep Spectral Clustering Learning
Marc Law · Raquel Urtasun · Zemel Rich
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #15
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
Mehrtash Harandi · Mathieu Salzmann · Richard I Hartley
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #16
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
Chirag Gupta · ARUN SUGGALA · Ankit Goyal · Saurabh Goyal · Ashish Kumar · Bhargavi Paranjape · Harsha Vardhan Simhadri · Raghavendra Udupa · Manik Varma · Prateek Jain
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #17
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini · Hieu Pham · Quoc Le · benoit steiner · Mohammad Norouzi · Rasmus Larsen · Yuefeng Zhou · Naveen Kumar · Samy Bengio · Jeff Dean
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #18
Dynamic Word Embeddings
Robert Bamler · Stephan Mandt
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #19
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng · Qi Meng · Taifeng Wang · Wei Chen · Nenghai Yu · Zhiming Ma · Tie-Yan Liu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #20
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
Po-Wei Chou · Daniel Maturana · Sebastian Scherer
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #21
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for MCMC
Umut Simsekli
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #22
Preferential Bayesian Optmization
Javier González · Zhenwen Dai · Andreas Damianou · Neil Lawrence
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #23
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Ankur Moitra · Alistair Stewart
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #24
Differentially Private Ordinary Least Squares
Or Sheffet
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #25
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications
Hao Zhou · Yilin Zhang · Vamsi Ithapu · Sterling Johnson · Grace Wahba · Vikas Singh
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #26
Deep Tensor Convolution on Multicores
David Budden · Alexander Matveev · Shibani Santurkar · Shraman Ray Chaudhuri · Nir Shavit
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #27
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
Hairong Liu · Zhenyao Zhu · Xiangang Li · Sanjeev Satheesh
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #28
Adaptive Consensus ADMM for Distributed Optimization
Zheng Xu · Gavin Taylor · Hao Li · Mario Figueiredo · Xiaoming Yuan · Tom Goldstein
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #29
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar · Karol Hausman · Marvin Zhang · Gaurav Sukhatme · Stefan Schaal · Sergey Levine
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #30
Stochastic Bouncy Particle Sampler
Ari Pakman · Dar Gilboa · David Carlson · Liam Paninski
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #31
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang · Stefanie Jegelka
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #32
Multilabel Classification with Group Testing and Codes
Shashanka Ubaru · Arya Mazumdar
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #33
Priv’IT: Private and Sample Efficient Identity Testing
Bryan Cai · Constantinos Daskalakis · Gautam Kamath
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #34
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed M. Alaa Ibrahim · Scott B Hu · Mihaela van der Schaar
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #35
MEC: Memory-efficient Convolution for Deep Neural Network
Minsik Cho · Daniel Brand
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #36
Coupling Distributed and Symbolic Execution for Natural Language Queries
Lili Mou · Zhengdong Lu · Hang Li · Zhi Jin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #37
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
Kevin Scaman · Francis Bach · Sebastien Bubeck · Yin Tat Lee · Laurent Massoulié
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #38
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control
Yunpeng Pan · Xinyan Yan · Evangelos Theodorou · Byron Boots
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #39
Canopy --- Fast Sampling with Cover Trees
Manzil Zaheer · Satwik Kottur · Amr Ahmed · Jose Moura · Alex Smola
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #40
Bayesian Optimization with Tree-structured Dependencies
Rodolphe Jenatton · Cedric Archambeau · Javier González · Matthias Seeger
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #41
High-Dimensional Structured Quantile Regression
Vidyashankar Sivakumar · Arindam Banerjee
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #42
Differentially Private Submodular Maximization: Data Summarization in Disguise
Marko Mitrovic · Mark Bun · Andreas Krause · Amin Karbasi
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #43
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
Joseph Futoma · Sanjay Hariharan · Katherine Heller
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #44
Beyond Filters: Compact Feature Map for Portable Deep Model
Yunhe Wang · Chang Xu · Chao Xu · Dacheng Tao
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #45
Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng · Anssi Kanervisto · Jeffrey Ling · Alexander Rush
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #46
Projection-free Distributed Online Learning in Networks
Wenpeng Zhang · Peilin Zhao · wenwu zhu · Steven Hoi · Tong Zhang
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #47
Learning Stable Stochastic Nonlinear Dynamical Systems
Jonas Umlauft · Sandra Hirche
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #48
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization
Jianbo Ye · James Wang · Jia Li
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #49
Multi-fidelity Bayesian Optimisation with Continuous Approximations
kirthevasan kandasamy · Gautam Dasarathy · Barnabás Póczos · Jeff Schneider
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #50
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
Zhuoran Yang · Krishnakumar Balasubramanian · Han Liu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #51
Differentially Private Learning of Graphical Models using CGMs
Garrett Bernstein · Ryan McKenna · Tao Sun · Daniel Sheldon · Michael Hay · Gerome Miklau
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #52
iSurvive: An Interpretable, Event-time Prediction Model for mHealth
Walter Dempsey · Alexander Moreno · James Rehg · Susan Murphy · Chris Scott · Michael Dennis · David Gustafson
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #53
Efficient softmax approximation for GPUs
Edouard Grave · Armand Joulin · Moustapha Cisse · David Grangier · Herve Jegou
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #54
Multichannel End-to-end Speech Recognition
Tsubasa Ochiai · Shinji Watanabe · Takaaki Hori · John Hershey
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #55
Local Bayesian Optimization of Motor Skills
Riadh Akrour · Dmitry Sorokin · Jan Peters · Gerhard Neumann
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #56
Improving Gibbs Sampler Scan Quality with DoGS
Ioannis Mitliagkas · Lester Mackey
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #57
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
Jose Hernandez-Lobato · James Requeima · Edward Pyzer-Knapp · alan Aspuru-Guzik
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #58
Robust Structured Estimation with Single-Index Models
Sheng Chen · Arindam Banerjee
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #59
Minimizing Trust Leaks for Robust Sybil Detection
János Höner · Shinichi Nakajima · Alexander Bauer · Klaus-robert Mueller · Nico Görnitz
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #60
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
Mingmin Zhao · Shichao Yue · Dina Katabi · Tommi Jaakkola · Matt Bianchi
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #61
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li · Yarin Gal
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #62
Latent Intention Dialogue Models
Tsung-Hsien Wen · Yishu Miao · Phil Blunsom · Stephen J Young
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #63
Robust Guarantees of Stochastic Greedy Algorithms
Yaron Singer · Avinatan Hassidim
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #64
Count-Based Exploration with Neural Density Models
Georg Ostrovski · Marc Bellemare · Aäron van den Oord · Remi Munos
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #65
Magnetic Hamiltonian Monte Carlo
Nilesh Tripuraneni · Mark Rowland · Zoubin Ghahramani · Richard E Turner
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #66
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
Aditya Chaudhry · Pan Xu · Quanquan Gu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #67
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data
Xixian Chen · Michael Lyu · Irwin King
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #68
The Price of Differential Privacy For Online Learning
Naman Agarwal · Karan Singh
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #69
Bidirectional learning for time-series models with hidden units
Takayuki Osogami · Hiroshi Kajino · Taro Sekiyama
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #70
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos · Max Welling
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #71
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao · Edward Grefenstette · Phil Blunsom
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #72
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
An Bian · Joachim Buhmann · Andreas Krause · Sebastian Tschiatschek
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #73
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh · Satinder Singh · Honglak Lee · Pushmeet Kohli
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #74
Probabilistic Path Hamiltonian Monte Carlo
Vu Dinh · Arman Bilge · Cheng Zhang · Frederick Matsen
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #75
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Massil Achab · Emmanuel Bacry · Stéphane Gaïffas · Iacopo Mastromatteo · Jean-François Muzy
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #76
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption
Lingxiao Wang · Quanquan Gu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #77
Pain-Free Random Differential Privacy with Sensitivity Sampling
Benjamin Rubinstein · Francesco Aldà
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #78
Learning Hawkes Processes from Short Doubly-Censored Event Sequences
Hongteng Xu · Dixin Luo · Hongyuan Zha
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #79
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #80
Toward Controlled Generation of Text
Zhiting Hu · Zichao Yang · Xiaodan Liang · Ruslan Salakhutdinov · Eric Xing
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #81
Robust Submodular Maximization: A Non-Uniform Partitioning Approach
Ilija Bogunovic · Slobodan Mitrovic · Jonathan Scarlett · Volkan Cevher
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #82
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster · Nantas Nardelli · Gregory Farquhar · Triantafyllos Afouras · Phil Torr · Pushmeet Kohli · Shimon Whiteson
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #83
Stochastic Gradient Monomial Gamma Sampler
Yizhe Zhang · Changyou Chen · Zhe Gan · Ricardo Henao · Lawrence Carin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #84
Cost-Optimal Learning of Causal Graphs
Murat Kocaoglu · Alexandros Dimakis · Sriram Vishwanath
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #85
Algebraic Variety Models for High-Rank Matrix Completion
Greg Ongie · Laura Balzano · Rebecca Willett · Robert Nowak
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #86
Differentially Private Clustering in High-Dimensional Euclidean Spaces
Nina Balcan · Travis Dick · Yingyu Liang · Wenlong Mou · Hongyang Zhang
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #87
Coherent probabilistic forecasts for hierarchical time series
Souhaib Ben Taieb · James Taylor · Rob Hyndman
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #88
Unimodal Probability Distributions for Deep Ordinal Classification
Christopher Beckham · Christopher Pal
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #89
Adversarial Feature Matching for Text Generation
Yizhe Zhang · Zhe Gan · Kai Fan · Zhi Chen · Ricardo Henao · Dinghan Shen · Lawrence Carin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #90
Probabilistic Submodular Maximization in Sub-Linear Time
Serban A Stan · Morteza Zadimoghaddam · Andreas Krause · Amin Karbasi
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #91
The Predictron: End-To-End Learning and Planning
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 9th 06:30 -- 10:00 PM @ Gallery #92
Stochastic Gradient MCMC Methods for Hidden Markov Models
Yi-An Ma · Nicholas J Foti · Emily Fox
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #93
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables
Bryant Chen · Daniel Kumor · Elias Bareinboim
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #94
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm
Rongda Zhu · Lingxiao Wang · Chengxiang Zhai · Quanquan Gu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #95
Differentially Private Chi-squared Test by Unit Circle Mechanism
Kazuya Kakizaki · Kazuto Fukuchi · Jun Sakuma
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #96
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi · Mathieu Blondel
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #97
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis · pankajan Chanthirasegaran · Pushmeet Kohli · Charles Sutton
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #98
On Approximation Guarantees for Greedy Low Rank Optimization
RAJIV KHANNA · Ethan Elenberg · Alexandros Dimakis · Joydeep Ghosh · Sahand Negahban
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #99
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel · Nir Baram · Nahum Shimkin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #100
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
Yulai Cong · Bo Chen · Hongwei Liu · Mingyuan Zhou
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #101
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit · Fredrik D Johansson · David Sontag
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #102
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
Kai Zheng · Wenlong Mou · Liwei Wang
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #103
Variational Policy for Guiding Point Processes
Yichen Wang · Grady Williams · Evangelos Theodorou · Le Song
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #104
Dance Dance Convolution
Christopher Donahue · Zachary Lipton · Julian McAuley
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #105
Language Modeling with Gated Convolutional Networks
Yann Dauphin · Angela Fan · Michael Auli · David Grangier
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #106
Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten"
Baharan Mirzasoleiman · Amin Karbasi · Andreas Krause
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #107
FeUdal Networks for Hierarchical Reinforcement Learning
Alexander Vezhnevets · Simon Osindero · Tom Schaul · Nicolas Heess · Max Jaderberg · David Silver · Koray Kavukcuoglu
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #108
Distributed Batch Gaussian Process Optimization
Erik Daxberger · Bryan Kian Hsiang Low
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #109
Recursive Partitioning for Personalization using Observational Data
Nathan Kallus
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #110
Optimal Densification for Fast and Accurate Minwise Hashing
Anshumali Shrivastava
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #111
An Adaptive Test of Independence with Analytic Kernel Embeddings
Wittawat Jitkrittum · Zoltan Szabo · Arthur Gretton
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #112
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
Michael Gygli · Mohammad Norouzi · Anelia Angelova
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #113
World of Bits: An Open-Domain Platform for Web-Based Agents
Tim Shi · Andrej Karpathy · Linxi Fan · Jonathan Hernandez · Percy Liang
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #114
Convolutional Sequence to Sequence Learning
Jonas Gehring · Michael Auli · David Grangier · Denis Yarats · Yann Dauphin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #115
Analysis and Optimization of Graph Decompositions by Lifted Multicuts
Andrea Hornakova · Jan-Hendrik Lange · Bjoern Andres
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #116
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill · Pietro Perona
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #117
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation
Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #118
Identifying Best Interventions through Online Importance Sampling
Rajat Sen · Karthikeyan Shanmugam · Alexandros Dimakis · Sanjay Shakkottai
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #119
Stochastic Generative Hashing
Bo Dai · Ruiqi Guo · Sanjiv Kumar · Niao He · Le Song
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #120
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière · Marco Cuturi · Steve Oudot
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #121
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun · Arun Venkatraman · Geoff Gordon · Byron Boots · Drew Bagnell
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #122
Real-Time Adaptive Image Compression
Oren Rippel · Lubomir Bourdev
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #123
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang · Zhiting Hu · Ruslan Salakhutdinov · Taylor Berg-Kirkpatrick
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #124
Near-Optimal Design of Experiments via Regret Minimization
Zeyuan Allen-Zhu · Yuanzhi Li · Aarti Singh · Yining Wang
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #125
Neural Episodic Control
Alexander Pritzel · Benigno Uria · Srinivasan Sriram · Adrià Puigdomenech Badia · Oriol Vinyals · Demis Hassabis · Daan Wierstra · Charles Blundell
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #126
Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar · Edwin Bonilla · Pietro Michiardi · Maurizio Filippone
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #127
Deep IV: A Flexible Approach for Counterfactual Prediction
Jason Hartford · Greg Lewis · Kevin Leyton-Brown · Matt Taddy
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #128
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
Hantian Zhang · Jerry Li · Kaan Kara · Dan Alistarh · Ji Liu · Ce Zhang
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #129
Adapting Kernel Representations Online Using Submodular Maximization
Matthew Schlegel · Yangchen Pan · Jiecao Chen · Martha White
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #130
End-to-End Learning for Structured Prediction Energy Networks
David Belanger · Bishan Yang · Andrew McCallum
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #131
Neural Message Passing for Quantum Chemistry
Justin Gilmer · Samuel Schoenholz · Patrick F Riley · Oriol Vinyals · George Dahl
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #132
Grammar Variational Autoencoder
Matt J. Kusner · Brooks Paige · Jose Hernandez-Lobato
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #133
Robust Budget Allocation via Continuous Submodular Functions
Matthew J Staib · Stefanie Jegelka
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #134
Neural Optimizer Search using Reinforcement Learning
Irwan Bello · Barret Zoph · Vijay Vasudevan · Quoc Le
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #135
Asynchronous Distributed Variational Gaussian Processes for Regression
Hao Peng · Shandian Zhe · Xiao Zhang · Yuan Qi
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #136
Counterfactual Data-Fusion for Online Reinforcement Learners
Andrew Forney · Judea Pearl · Elias Bareinboim
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #137
Large-Scale Evolution of Image Classifiers
Esteban Real · Sherry Moore · Andrew Selle · Saurabh Saxena · Yutaka Leon Suematsu · Jie Tan · Quoc Le · Alexey Kurakin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #138
Spherical Structured Feature Maps for Kernel Approximation
Yueming LYU
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #139
A Unified View of Multi-Label Performance Measures
Xi-Zhu Wu · Zhi-Hua Zhou
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #140
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson · Kristofer D Schlachter · Pablo Sprechmann · Ken Perlin
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #141
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement
Jonathan Eckstein · Noam Goldberg · Ai Kagawa
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #142
High Dimensional Bayesian Optimization with Elastic Gaussian Process
Santu Rana · Cheng Li · Sunil Gupta · Vu Nguyen · Svetha Venkatesh
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #143
Nyström Method with Kernel K-means++ Samples as Landmarks
Dino Oglic · Thomas Gaertner
Poster
Wed Aug 9th 06:30 -- 10:00 PM @ Gallery #144
Scalable Generative Models for Multi-label Learning with Missing Labels
Vikas Jain · Nirbhay Modhe · Piyush Rai