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Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Equality of Opportunity in Classification: A Causal Approach
In Wed Poster Session B
Junzhe Zhang · Elias Bareinboim
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Confounding-Robust Policy Improvement
In Wed Poster Session B
Nathan Kallus · Angela Zhou
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Causal Discovery from Discrete Data using Hidden Compact Representation
In Wed Poster Session B
Ruichu Cai · Jie Qiao · Kun Zhang · Zhenjie Zhang · Zhifeng Hao
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Dirichlet belief networks for topic structure learning
In Wed Poster Session B
He Zhao · Lan Du · Wray Buntine · Mingyuan Zhou
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
In Wed Poster Session B
Tal Friedman · Guy Van den Broeck
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #6
Proximal Graphical Event Models
In Wed Poster Session B
Debarun Bhattacharjya · Dharmashankar Subramanian · Tian Gao
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Dynamic Network Model from Partial Observations
In Wed Poster Session B
Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
HOGWILD!-Gibbs can be PanAccurate
In Wed Poster Session B
Constantinos Daskalakis · Nishanth Dikkala · Siddhartha Jayanti
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
DAGs with NO TEARS: Continuous Optimization for Structure Learning
In Wed Poster Session B
Xun Zheng · Bryon Aragam · Pradeep Ravikumar · Eric Xing
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
In Wed Poster Session B
Soumendu Sundar Mukherjee · Purnamrita Sarkar · Y. X. Rachel Wang · Bowei Yan
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Coupled Variational Bayes via Optimization Embedding
In Wed Poster Session B
Bo Dai · Hanjun Dai · Niao He · Weiyang Liu · Zhen Liu · Jianshu Chen · Lin Xiao · Le Song
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
Stochastic Nonparametric Event-Tensor Decomposition
In Wed Poster Session B
Shandian Zhe · Yishuai Du
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
In Wed Poster Session B
Jacob Gardner · Geoff Pleiss · Kilian Weinberger · David Bindel · Andrew Wilson
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Heterogeneous Multi-output Gaussian Process Prediction
In Wed Poster Session B
Pablo Moreno-Muñoz · Antonio Artés · Mauricio Álvarez
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Probabilistic Matrix Factorization for Automated Machine Learning
In Wed Poster Session B
Nicolo Fusi · Rishit Sheth · Melih Elibol
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #16
Stochastic Expectation Maximization with Variance Reduction
In Wed Poster Session B
Jianfei Chen · Jun Zhu · Yee Whye Teh · Tong Zhang
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
Generative Neural Machine Translation
In Wed Poster Session B
Harshil Shah · David Barber
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
Variational Learning on Aggregate Outputs with Gaussian Processes
In Wed Poster Session B
Ho Chung Law · Dino Sejdinovic · Ewan Cameron · Tim Lucas · Seth Flaxman · Katherine Battle · Kenji Fukumizu
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Learning Invariances using the Marginal Likelihood
In Wed Poster Session B
Mark van der Wilk · Matthias Bauer · ST John · James Hensman
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
In Wed Poster Session B
Dimitrios Milios · Raffaello Camoriano · Pietro Michiardi · Lorenzo Rosasco · Maurizio Filippone
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
In Wed Poster Session B
Zi Wang · Beomjoon Kim · Leslie Kaelbling
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
In Wed Poster Session B
Mojmir Mutny · Andreas Krause
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Adversarially Robust Optimization with Gaussian Processes
In Wed Poster Session B
Ilija Bogunovic · Jonathan Scarlett · Stefanie Jegelka · Volkan Cevher
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
In Wed Poster Session B
Rajan Udwani
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
In Wed Poster Session B
Ganesh Sundaramoorthi · Anthony Yezzi
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
In Wed Poster Session B
Krishnakumar Balasubramanian · Saeed Ghadimi
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
Computing Higher Order Derivatives of Matrix and Tensor Expressions
In Wed Poster Session B
Sören Laue · Matthias Mitterreiter · Joachim Giesen
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
In Wed Poster Session B
Lei Wu · Chao Ma · Weinan E
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
The Effect of Network Width on the Performance of Large-batch Training
In Wed Poster Session B
Lingjiao Chen · Hongyi Wang · Jinman Zhao · Dimitris Papailiopoulos · Paraschos Koutris
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
COLA: Decentralized Linear Learning
In Wed Poster Session B
Lie He · Yatao Bian · Martin Jaggi
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Distributed Stochastic Optimization via Adaptive SGD
In Wed Poster Session B
Ashok Cutkosky · Róbert Busa-Fekete
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates
In Wed Poster Session B
Quoc Tran Dinh
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Breaking the Span Assumption Yields Fast Finite-Sum Minimization
In Wed Poster Session B
Robert Hannah · Yanli Liu · Daniel O'Connor · Wotao Yin
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Optimization for Approximate Submodularity
In Wed Poster Session B
Yaron Singer · Avinatan Hassidim
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #36
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
In Wed Poster Session B
Wenruo Bai · William Stafford Noble · Jeffrey A Bilmes
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
Maximizing Induced Cardinality Under a Determinantal Point Process
In Wed Poster Session B
Jennifer Gillenwater · Alex Kulesza · Sergei Vassilvitskii · Zelda Mariet
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization
In Wed Poster Session B
Francis Bach
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
Revisiting Decomposable Submodular Function Minimization with Incidence Relations
In Wed Poster Session B
Pan Li · Olgica Milenkovic
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
Coordinate Descent with Bandit Sampling
In Wed Poster Session B
Farnood Salehi · Patrick Thiran · Elisa Celis
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
In Wed Poster Session B
Robert Gower · Filip Hanzely · Peter Richtarik · Sebastian Stich
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Stochastic Cubic Regularization for Fast Nonconvex Optimization
In Wed Poster Session B
Nilesh Tripuraneni · Mitchell Stern · Chi Jin · Jeffrey Regier · Michael Jordan
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
On the Local Minima of the Empirical Risk
In Wed Poster Session B
Chi Jin · Lydia T. Liu · Rong Ge · Michael Jordan
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization
In Wed Poster Session B
Dongruo Zhou · Pan Xu · Quanquan Gu
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
NEON2: Finding Local Minima via First-Order Oracles
In Wed Poster Session B
Zeyuan Allen-Zhu · Yuanzhi Li
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
In Wed Poster Session B
Richard Zhang · Cedric Josz · Somayeh Sojoudi · Javad Lavaei
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Escaping Saddle Points in Constrained Optimization
In Wed Poster Session B
Aryan Mokhtari · Asuman Ozdaglar · Ali Jadbabaie
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
In Wed Poster Session B
Yair Carmon · John Duchi
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #49
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
In Wed Poster Session B
Cong Fang · Chris Junchi Li · Zhouchen Lin · Tong Zhang
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
Natasha 2: Faster Non-Convex Optimization Than SGD
In Wed Poster Session B
Zeyuan Allen-Zhu
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
In Wed Poster Session B
Sijia Liu · Bhavya Kailkhura · Pin-Yu Chen · Paishun Ting · Shiyu Chang · Lisa Amini
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Structured Local Minima in Sparse Blind Deconvolution
In Wed Poster Session B
Yuqian Zhang · Han-wen Kuo · John Wright
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
In Wed Poster Session B
Simon Du · Wei Hu · Jason Lee
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Are ResNets Provably Better than Linear Predictors?
In Wed Poster Session B
Ohad Shamir
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Adaptive Methods for Nonconvex Optimization
In Wed Poster Session B
Manzil Zaheer · Sashank Reddi · Devendra S Sachan · Satyen Kale · Sanjiv Kumar
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
Alternating optimization of decision trees, with application to learning sparse oblique trees
In Wed Poster Session B
Miguel A. Carreira-Perpinan · Pooya Tavallali
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
GILBO: One Metric to Measure Them All
In Wed Poster Session B
Alexander Alemi · Ian Fischer
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Isolating Sources of Disentanglement in Variational Autoencoders
In Wed Poster Session B
Tian Qi Chen · Xuechen (Chen) Li · Roger Grosse · David Duvenaud
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
On GANs and GMMs
In Wed Poster Session B
Eitan Richardson · Yair Weiss
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
Assessing Generative Models via Precision and Recall
In Wed Poster Session B
Mehdi S. M. Sajjadi · Olivier Bachem · Mario Lucic · Olivier Bousquet · Sylvain Gelly
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
In Wed Poster Session B
Jie Hu · Li Shen · Samuel Albanie · Gang Sun · Andrea Vedaldi
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
In Wed Poster Session B
Jay Heo · Hae Beom Lee · Saehoon Kim · Juho Lee · Kwang Joon Kim · Eunho Yang · Sung Ju Hwang
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
In Wed Poster Session B
Bryan Lim · Ahmed M. Alaa · Mihaela van der Schaar
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
In Wed Poster Session B
Fei Wang · James Decker · Xilun Wu · Gregory Essertel · Tiark Rompf
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
Recurrent World Models Facilitate Policy Evolution
In Wed Poster Session B
David Ha · Jürgen Schmidhuber
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Long short-term memory and Learning-to-learn in networks of spiking neurons
In Wed Poster Session B
Guillaume Bellec · Darjan Salaj · Anand Subramoney · Robert Legenstein · Wolfgang Maass
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Distributed Weight Consolidation: A Brain Segmentation Case Study
In Wed Poster Session B
Patrick McClure · Charles Zheng · Jakub R Kaczmarzyk · John Rogers-Lee · Satra Ghosh · Dylan Nielson · Peter A Bandettini · Francisco Pereira
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #68
Learning to Play With Intrinsically-Motivated, Self-Aware Agents
In Wed Poster Session B
Nick Haber · Damian Mrowca · Stephanie Wang · Li Fei-Fei · Daniel Yamins
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Gradient Descent for Spiking Neural Networks
In Wed Poster Session B
Dongsung Huh · Terrence Sejnowski
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
In Wed Poster Session B
Chaitanya Ryali · Gautam Reddy · Angela Yu
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
Temporal alignment and latent Gaussian process factor inference in population spike trains
In Wed Poster Session B
Lea Duncker · Maneesh Sahani
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces
In Wed Poster Session B
Boyla Mainsah · Dmitry Kalika · Leslie Collins · Siyuan Liu · Chandra Throckmorton
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Model-based targeted dimensionality reduction for neuronal population data
In Wed Poster Session B
Mikio Aoi · Jonathan Pillow
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
Objective and efficient inference for couplings in neuronal networks
In Wed Poster Session B
Yu Terada · Tomoyuki Obuchi · Takuya Isomura · Yoshiyuki Kabashima
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
The emergence of multiple retinal cell types through efficient coding of natural movies
In Wed Poster Session B
Samuel Ocko · Jack Lindsey · Surya Ganguli · Stephane Deny
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Benefits of over-parameterization with EM
In Wed Poster Session B
Ji Xu · Daniel Hsu · Arian Maleki
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
On Coresets for Logistic Regression
In Wed Poster Session B
Alexander Munteanu · Chris Schwiegelshohn · Christian Sohler · David Woodruff
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #78
On Learning Markov Chains
In Wed Poster Session B
Yi Hao · Alon Orlitsky · Venkatadheeraj Pichapati
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Contextual Stochastic Block Models
In Wed Poster Session B
Yash Deshpande · Subhabrata Sen · Andrea Montanari · Elchanan Mossel
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
Estimators for Multivariate Information Measures in General Probability Spaces
In Wed Poster Session B
Arman Rahimzamani · Himanshu Asnani · Pramod Viswanath · Sreeram Kannan
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Blind Deconvolutional Phase Retrieval via Convex Programming
In Wed Poster Session B
Ali Ahmed · Alireza Aghasi · Paul Hand
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Entropy Rate Estimation for Markov Chains with Large State Space
In Wed Poster Session B
Yanjun Han · Jiantao Jiao · Chuan-Zheng Lee · Tsachy Weissman · Yihong Wu · Tiancheng Yu
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
Bandit Learning in Concave N-Person Games
In Wed Poster Session B
Mario Bravo · David Leslie · Panayotis Mertikopoulos
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Depth-Limited Solving for Imperfect-Information Games
In Wed Poster Session B
Noam Brown · Tuomas Sandholm · Brandon Amos
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
The Physical Systems Behind Optimization Algorithms
In Wed Poster Session B
Lin Yang · Raman Arora · Vladimir Braverman · Tuo Zhao
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
In Wed Poster Session B
Jiantao Jiao · Weihao Gao · Yanjun Han
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
Robust Learning of Fixed-Structure Bayesian Networks
In Wed Poster Session B
Yu Cheng · Ilias Diakonikolas · Daniel Kane · Alistair Stewart
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #88
Information-theoretic Limits for Community Detection in Network Models
In Wed Poster Session B
Chuyang Ke · Jean Honorio
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Generalizing Graph Matching beyond Quadratic Assignment Model
In Wed Poster Session B
Tianshu Yu · Junchi Yan · Yilin Wang · Wei Liu · baoxin Li
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
Improving Simple Models with Confidence Profiles
In Wed Poster Session B
Amit Dhurandhar · Karthikeyan Shanmugam · Ronny Luss · Peder A Olsen
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Online Learning with an Unknown Fairness Metric
In Wed Poster Session B
Stephen Gillen · Christopher Jung · Michael Kearns · Aaron Roth
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
Legendre Decomposition for Tensors
In Wed Poster Session B
Mahito Sugiyama · Hiroyuki Nakahara · Koji Tsuda
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
The Price of Privacy for Low-rank Factorization
In Wed Poster Session B
Jalaj Upadhyay
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
In Wed Poster Session B
Di Wang · Marco Gaboardi · Jinhui Xu
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
Differentially Private Change-Point Detection
In Wed Poster Session B
Rachel Cummings · Sara Krehbiel · Yajun Mei · Rui Tuo · Wanrong Zhang
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
Scalable Laplacian K-modes
In Wed Poster Session B
Imtiaz Ziko · Eric Granger · Ismail Ben Ayed
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Geometrically Coupled Monte Carlo Sampling
In Wed Poster Session B
Mark Rowland · Krzysztof Choromanski · François Chalus · Aldo Pacchiano · Tamas Sarlos · Richard Turner · Adrian Weller
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #98
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
In Wed Poster Session B
Motoya Ohnishi · Masahiro Yukawa · Mikael Johansson · Masashi Sugiyama
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
In Wed Poster Session B
Xiaoxuan Zhang · Mingrui Liu · Xun Zhou · Tianbao Yang
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Reducing Network Agnostophobia
In Wed Poster Session B
Akshay Raj Dhamija · Manuel Günther · Terrance Boult
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
In Wed Poster Session B
Alessandro Achille · Tom Eccles · Loic Matthey · Chris Burgess · Nicholas Watters · Alexander Lerchner · Irina Higgins
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
In Wed Poster Session B
Yining Wang · Xi Chen · Yuan Zhou
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
The Everlasting Database: Statistical Validity at a Fair Price
In Wed Poster Session B
Blake Woodworth · Vitaly Feldman · Saharon Rosset · Nati Srebro
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Scalar Posterior Sampling with Applications
In Wed Poster Session B
Georgios Theocharous · Zheng Wen · Yasin Abbasi Yadkori · Nikos Vlassis
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Iterative Value-Aware Model Learning
In Wed Poster Session B
Amir-massoud Farahmand
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
A Lyapunov-based Approach to Safe Reinforcement Learning
In Wed Poster Session B
Yinlam Chow · Ofir Nachum · Edgar Duenez-Guzman · Mohammad Ghavamzadeh
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Temporal Regularization for Markov Decision Process
In Wed Poster Session B
Pierre Thodoroff · Audrey Durand · Joelle Pineau · Doina Precup
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
Maximum Causal Tsallis Entropy Imitation Learning
In Wed Poster Session B
Kyungjae Lee · Sungjoon Choi · Songhwai Oh
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
Policy Optimization via Importance Sampling
In Wed Poster Session B
Alberto Maria Metelli · Matteo Papini · Francesco Faccio · Marcello Restelli
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Reinforcement Learning of Theorem Proving
In Wed Poster Session B
Cezary Kaliszyk · Josef Urban · Henryk Michalewski · Miroslav Olšák
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
Simple random search of static linear policies is competitive for reinforcement learning
In Wed Poster Session B
Horia Mania · Aurelia Guy · Benjamin Recht
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Meta-Gradient Reinforcement Learning
In Wed Poster Session B
Zhongwen Xu · Hado van Hasselt · David Silver
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #113
Reinforcement Learning for Solving the Vehicle Routing Problem
In Wed Poster Session B
MohammadReza Nazari · Afshin Oroojlooy · Lawrence Snyder · Martin Takac
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
In Wed Poster Session B
Tom Zahavy · Matan Haroush · Nadav Merlis · Daniel J Mankowitz · Shie Mannor
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
In Wed Poster Session B
Yu-Shao Peng · Kai-Fu Tang · Hsuan-Tien Lin · Edward Chang
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Learning Plannable Representations with Causal InfoGAN
In Wed Poster Session B
Thanard Kurutach · Aviv Tamar · Ge Yang · Stuart Russell · Pieter Abbeel
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
In Wed Poster Session B
Edoardo Conti · Vashisht Madhavan · Felipe Petroski Such · Joel Lehman · Kenneth Stanley · Jeff Clune
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
Transfer of Deep Reactive Policies for MDP Planning
In Wed Poster Session B
Aniket (Nick) Bajpai · Sankalp Garg · Mausam
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Q-learning with Nearest Neighbors
In Wed Poster Session B
Devavrat Shah · Qiaomin Xie
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Distributed Multitask Reinforcement Learning with Quadratic Convergence
In Wed Poster Session B
Rasul Tutunov · Dongho Kim · Haitham Bou Ammar
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
In Wed Poster Session B
Qiang Liu · Lihong Li · Ziyang Tang · Denny Zhou
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Constrained Cross-Entropy Method for Safe Reinforcement Learning
In Wed Poster Session B
Min Wen · Ufuk Topcu
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Representation Balancing MDPs for Off-policy Policy Evaluation
In Wed Poster Session B
Yao Liu · Omer Gottesman · Aniruddh Raghu · Matthieu Komorowski · Aldo Faisal · Finale Doshi-Velez · Emma Brunskill
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #124
Dual Policy Iteration
In Wed Poster Session B
Wen Sun · Geoffrey Gordon · Byron Boots · J. Bagnell
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Occam's razor is insufficient to infer the preferences of irrational agents
In Wed Poster Session B
Stuart Armstrong · Sören Mindermann
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Transfer of Value Functions via Variational Methods
In Wed Poster Session B
Andrea Tirinzoni · Rafael Rodriguez Sanchez · Marcello Restelli
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
In Wed Poster Session B
Michael Gimelfarb · Scott Sanner · Chi-Guhn Lee
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Online Robust Policy Learning in the Presence of Unknown Adversaries
In Wed Poster Session B
Aaron Havens · Zhanhong Jiang · Soumik Sarkar
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
A Bayesian Approach to Generative Adversarial Imitation Learning
In Wed Poster Session B
Wonseok Jeon · Seokin Seo · Kee-Eung Kim
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
Verifiable Reinforcement Learning via Policy Extraction
In Wed Poster Session B
Osbert Bastani · Yewen Pu · Armando Solar-Lezama
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Deep Reinforcement Learning of Marked Temporal Point Processes
In Wed Poster Session B
Utkarsh Upadhyay · Abir De · Manuel Gomez Rodriguez
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
On Learning Intrinsic Rewards for Policy Gradient Methods
In Wed Poster Session B
Zeyu Zheng · Junhyuk Oh · Satinder Singh
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Evolution-Guided Policy Gradient in Reinforcement Learning
In Wed Poster Session B
Shauharda Khadka · Kagan Tumer
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Meta-Reinforcement Learning of Structured Exploration Strategies
In Wed Poster Session B
Abhishek Gupta · Russell Mendonca · YuXuan Liu · Pieter Abbeel · Sergey Levine
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #135
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
In Wed Poster Session B
Zhang-Wei Hong · Tzu-Yun Shann · Shih-Yang Su · Yi-Hsiang Chang · Tsu-Jui Fu · Chun-Yi Lee
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Genetic-Gated Networks for Deep Reinforcement Learning
In Wed Poster Session B
Simyung Chang · John Yang · Jaeseok Choi · Nojun Kwak
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
In Wed Poster Session B
Chen Liang · Mohammad Norouzi · Jonathan Berant · Quoc V Le · Ni Lao
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
Hardware Conditioned Policies for Multi-Robot Transfer Learning
In Wed Poster Session B
Tao Chen · Adithyavairavan Murali · Abhinav Gupta
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Reward learning from human preferences and demonstrations in Atari
In Wed Poster Session B
Borja Ibarz · Jan Leike · Tobias Pohlen · Geoffrey Irving · Shane Legg · Dario Amodei
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
In Wed Poster Session B
Jiaxuan You · Bowen Liu · Zhitao Ying · Vijay Pande · Jure Leskovec
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
Visual Reinforcement Learning with Imagined Goals
In Wed Poster Session B
Ashvin Nair · Vitchyr Pong · Murtaza Dalal · Shikhar Bahl · Steven Lin · Sergey Levine
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Playing hard exploration games by watching YouTube
In Wed Poster Session B
Yusuf Aytar · Tobias Pfaff · David Budden · Thomas Paine · Ziyu Wang · Nando de Freitas
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #143
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
In Wed Poster Session B
Vikash Goel · Jameson Weng · Pascal Poupart
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Learning to Navigate in Cities Without a Map
In Wed Poster Session B
Piotr Mirowski · Matt Grimes · Mateusz Malinowski · Karl Moritz Hermann · Keith Anderson · Denis Teplyashin · Karen Simonyan · koray kavukcuoglu · Andrew Zisserman · Raia Hadsell
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #145
Learning Abstract Options
In Wed Poster Session B
Matthew Riemer · Miao Liu · Gerald Tesauro
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
Object-Oriented Dynamics Predictor
In Wed Poster Session B
Guangxiang Zhu · Zhiao Huang · Chongjie Zhang
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
In Wed Poster Session B
YAN ZHENG · Zhaopeng Meng · Jianye Hao · Zongzhang Zhang · Tianpei Yang · Changjie Fan
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Learning Attentional Communication for Multi-Agent Cooperation
In Wed Poster Session B
Jiechuan Jiang · Zongqing Lu
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
In Wed Poster Session B
Jeremy Morton · Antony Jameson · Mykel J Kochenderfer · Freddie Witherden
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
In Wed Poster Session B
Alexander Neitz · Giambattista Parascandolo · Stefan Bauer · Bernhard Schölkopf
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
In Wed Poster Session B
Ofir Marom · Benjamin Rosman
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Total stochastic gradient algorithms and applications in reinforcement learning
In Wed Poster Session B
Paavo Parmas
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
In Wed Poster Session B
Romain WARLOP · Alessandro Lazaric · Jérémie Mary
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Randomized Prior Functions for Deep Reinforcement Learning
In Wed Poster Session B
Ian Osband · John Aslanides · Albin Cassirer
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
In Wed Poster Session B
Maria Dimakopoulou · Ian Osband · Benjamin Van Roy
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
Context-dependent upper-confidence bounds for directed exploration
In Wed Poster Session B
Raksha Kumaraswamy · Matthew Schlegel · Adam White · Martha White
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Multi-Agent Generative Adversarial Imitation Learning
In Wed Poster Session B
Jiaming Song · Hongyu Ren · Dorsa Sadigh · Stefano Ermon
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
In Wed Poster Session B
Sriram Srinivasan · Marc Lanctot · Vinicius Zambaldi · Julien Perolat · Karl Tuyls · Remi Munos · Michael Bowling
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
Learning to Share and Hide Intentions using Information Regularization
In Wed Poster Session B
DJ Strouse · Max Kleiman-Weiner · Josh Tenenbaum · Matt Botvinick · David Schwab
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Credit Assignment For Collective Multiagent RL With Global Rewards
In Wed Poster Session B
Duc Thien Nguyen · Akshat Kumar · Hoong Chuin Lau
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
In Wed Poster Session B
Hoi-To Wai · Zhuoran Yang · Zhaoran Wang · Mingyi Hong
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
In Wed Poster Session B
Yanlin Han · Piotr Gmytrasiewicz
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
In Wed Poster Session B
Mahdi Imani · Seyede Fatemeh Ghoreishi · Ulisses M. Braga-Neto
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making
In Wed Poster Session B
Nishant Desai · Andrew Critch · Stuart J Russell
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
In Wed Poster Session B
Mathieu Fehr · Olivier Buffet · Vincent Thomas · Jilles Dibangoye
[ Paper]  [ Poster] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Learning Task Specifications from Demonstrations
In Wed Poster Session B
Marcell Vazquez-Chanlatte · Susmit Jha · Ashish Tiwari · Mark Ho · Sanjit Seshia
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Teaching Inverse Reinforcement Learners via Features and Demonstrations
In Wed Poster Session B
Luis Haug · Sebastian Tschiatschek · Adish Singla
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Single-Agent Policy Tree Search With Guarantees
In Wed Poster Session B
Laurent Orseau · Levi Lelis · Tor Lattimore · Theophane Weber
[ Paper] 
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #169
From Stochastic Planning to Marginal MAP
In Wed Poster Session B
Hao(Jackson) Cui · Radu Marinescu · Roni Khardon
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #170
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
In Wed Poster Session B
Zhihui Zhu · Yifan Wang · Daniel Robinson · Daniel Naiman · René Vidal · Manolis Tsakiris
[ Paper]