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Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #1
Balanced Policy Evaluation and Learning
In Wed Poster Session A
Nathan Kallus
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #2
Exponentiated Strongly Rayleigh Distributions
In Wed Poster Session A
Zelda Mariet · Suvrit Sra · Stefanie Jegelka
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #3
Parsimonious Bayesian deep networks
In Wed Poster Session A
Mingyuan Zhou
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #4
Stein Variational Gradient Descent as Moment Matching
In Wed Poster Session A
Qiang Liu · Dilin Wang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #5
Hamiltonian Variational Auto-Encoder
In Wed Poster Session A
Anthony Caterini · Arnaud Doucet · Dino Sejdinovic
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #6
Predictive Approximate Bayesian Computation via Saddle Points
In Wed Poster Session A
Yingxiang Yang · Bo Dai · Negar Kiyavash · Niao He
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #7
Importance Weighting and Variational Inference
In Wed Poster Session A
Justin Domke · Daniel Sheldon
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #8
Orthogonally Decoupled Variational Gaussian Processes
In Wed Poster Session A
Hugh Salimbeni · Ching-An Cheng · Byron Boots · Marc Deisenroth
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #9
ATOMO: Communication-efficient Learning via Atomic Sparsification
In Wed Poster Session A
Hongyi Wang · Scott Sievert · Shengchao Liu · Zachary Charles · Dimitris Papailiopoulos · Stephen Wright
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #10
Sparsified SGD with Memory
In Wed Poster Session A
Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #11
SEGA: Variance Reduction via Gradient Sketching
In Wed Poster Session A
Filip Hanzely · Konstantin Mishchenko · Peter Richtarik
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #12
Non-monotone Submodular Maximization in Exponentially Fewer Iterations
In Wed Poster Session A
Eric Balkanski · Adam Breuer · Yaron Singer
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #13
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
In Wed Poster Session A
Conghui Tan · Tong Zhang · Shiqian Ma · Ji Liu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #14
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
In Wed Poster Session A
Junqi Tang · Mohammad Golbabaee · Francis Bach · Mike Davies
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #15
Inexact trust-region algorithms on Riemannian manifolds
In Wed Poster Session A
Hiroyuki Kasai · Bamdev Mishra
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #16
On Markov Chain Gradient Descent
In Wed Poster Session A
Tao Sun · Yuejiao Sun · Wotao Yin
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #17
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
In Wed Poster Session A
Zhiqiang Xu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #18
Global Non-convex Optimization with Discretized Diffusions
In Wed Poster Session A
Murat Erdogdu · Lester Mackey · Ohad Shamir
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #19
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
In Wed Poster Session A
Cedric Josz · Yi Ouyang · Richard Zhang · Javad Lavaei · Somayeh Sojoudi
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #20
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
In Wed Poster Session A
Constantinos Daskalakis · Ioannis Panageas
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #21
Porcupine Neural Networks: Approximating Neural Network Landscapes
In Wed Poster Session A
Soheil Feizi · Hamid Javadi · Jesse Zhang · David Tse
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #22
Adding One Neuron Can Eliminate All Bad Local Minima
In Wed Poster Session A
SHIYU LIANG · Ruoyu Sun · Jason Lee · R. Srikant
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #23
Improving Explorability in Variational Inference with Annealed Variational Objectives
In Wed Poster Session A
Chin-Wei Huang · Shawn Tan · Alexandre Lacoste · Aaron Courville
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #24
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
In Wed Poster Session A
Adam Kosiorek · Hyunjik Kim · Yee Whye Teh · Ingmar Posner
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #25
Delta-encoder: an effective sample synthesis method for few-shot object recognition
In Wed Poster Session A
Eli Schwartz · Leonid Karlinsky · Joseph Shtok · Sivan Harary · Mattias Marder · Abhishek Kumar · Rogerio Feris · Raja Giryes · Alex Bronstein
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #26
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
In Wed Poster Session A
Hajin Shim · Sung Ju Hwang · Eunho Yang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #27
PCA of high dimensional random walks with comparison to neural network training
In Wed Poster Session A
Joseph Antognini · Jascha Sohl-Dickstein
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #28
Insights on representational similarity in neural networks with canonical correlation
In Wed Poster Session A
Ari Morcos · Maithra Raghu · Samy Bengio
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #29
Adversarial vulnerability for any classifier
In Wed Poster Session A
Alhussein Fawzi · Hamza Fawzi · Omar Fawzi
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #30
Sanity Checks for Saliency Maps
In Wed Poster Session A
Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #31
MetaGAN: An Adversarial Approach to Few-Shot Learning
In Wed Poster Session A
Ruixiang ZHANG · Tong Che · Zoubin Ghahramani · Yoshua Bengio · Yangqiu Song
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #32
Deep Generative Models with Learnable Knowledge Constraints
In Wed Poster Session A
Zhiting Hu · Zichao Yang · Russ Salakhutdinov · LIANHUI Qin · Xiaodan Liang · Haoye Dong · Eric Xing
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #33
Learning Attractor Dynamics for Generative Memory
In Wed Poster Session A
Yan Wu · Gregory Wayne · Karol Gregor · Timothy Lillicrap
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #34
Fast deep reinforcement learning using online adjustments from the past
In Wed Poster Session A
Steven Hansen · Alexander Pritzel · Pablo Sprechmann · Andre Barreto · Charles Blundell
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #35
Blockwise Parallel Decoding for Deep Autoregressive Models
In Wed Poster Session A
Mitchell Stern · Noam Shazeer · Jakob Uszkoreit
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #36
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
In Wed Poster Session A
Amit Zohar · Lior Wolf
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #37
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
In Wed Poster Session A
Zi Yin · Vin Sachidananda · Balaji Prabhakar
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #38
End-to-End Differentiable Physics for Learning and Control
In Wed Poster Session A
Filipe de Avila Belbute Peres · Kevin Smith · Kelsey Allen · Josh Tenenbaum · J. Zico Kolter
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #39
Neural Arithmetic Logic Units
In Wed Poster Session A
Andrew Trask · Felix Hill · Scott Reed · Jack Rae · Chris Dyer · Phil Blunsom
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #40
Reinforced Continual Learning
In Wed Poster Session A
Ju Xu · Zhanxing Zhu
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #41
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
In Wed Poster Session A
Ali Shafahi · W. Ronny Huang · Mahyar Najibi · Octavian Suciu · Christoph Studer · Tudor Dumitras · Tom Goldstein
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #42
Generalizing to Unseen Domains via Adversarial Data Augmentation
In Wed Poster Session A
Riccardo Volpi · Hongseok Namkoong · Ozan Sener · John Duchi · Vittorio Murino · Silvio Savarese
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #43
On the Local Hessian in Back-propagation
In Wed Poster Session A
Huishuai Zhang · Wei Chen · Tie-Yan Liu
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #44
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
In Wed Poster Session A
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #45
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
In Wed Poster Session A
Bart van Merriënboer · Dan Moldovan · Alexander Wiltschko
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #46
Simple, Distributed, and Accelerated Probabilistic Programming
In Wed Poster Session A
Dustin Tran · Matthew Hoffman · Dave Moore · Christopher Suter · Srinivas Vasudevan · Alexey Radul · Matthew Johnson · Rif A. Saurous
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #47
Power-law efficient neural codes provide general link between perceptual bias and discriminability
In Wed Poster Session A
Michael J Morais · Jonathan Pillow
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #48
DropBlock: A regularization method for convolutional networks
In Wed Poster Session A
Golnaz Ghiasi · Tsung-Yi Lin · Quoc V Le
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #49
Learning sparse neural networks via sensitivity-driven regularization
In Wed Poster Session A
Enzo Tartaglione · Skjalg Lepsøy · Attilio Fiandrotti · Gianluca Francini
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #50
Critical initialisation for deep signal propagation in noisy rectifier neural networks
In Wed Poster Session A
Arnu Pretorius · Elan van Biljon · Steve Kroon · Herman Kamper
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #51
The streaming rollout of deep networks - towards fully model-parallel execution
In Wed Poster Session A
Volker Fischer · Jan Koehler · Thomas Pfeil
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #52
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
In Wed Poster Session A
Jeffrey Pennington · Pratik Worah
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #53
Learning Optimal Reserve Price against Non-myopic Bidders
In Wed Poster Session A
Jinyan Liu · Zhiyi Huang · Xiangning Wang
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #54
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
In Wed Poster Session A
Holden Lee · Andrej Risteski · Rong Ge
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #55
On Binary Classification in Extreme Regions
In Wed Poster Session A
Hamid Jalalzai · Stephan Clémençon · Anne Sabourin
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #57
Improved Algorithms for Collaborative PAC Learning
In Wed Poster Session A
Huy Nguyen · Lydia Zakynthinou
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #58
Data Amplification: A Unified and Competitive Approach to Property Estimation
In Wed Poster Session A
Yi Hao · Alon Orlitsky · Ananda Theertha Suresh · Yihong Wu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #59
Mean-field theory of graph neural networks in graph partitioning
In Wed Poster Session A
Tatsuro Kawamoto · Masashi Tsubaki · Tomoyuki Obuchi
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #60
Statistical mechanics of low-rank tensor decomposition
In Wed Poster Session A
Jonathan Kadmon · Surya Ganguli
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #61
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
In Wed Poster Session A
Alyson Fletcher · Parthe Pandit · Sundeep Rangan · Subrata Sarkar · Philip Schniter
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #62
The Description Length of Deep Learning models
In Wed Poster Session A
Léonard Blier · Yann Ollivier
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #63
Deepcode: Feedback Codes via Deep Learning
In Wed Poster Session A
Hyeji Kim · Yihan Jiang · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #64
Binary Rating Estimation with Graph Side Information
In Wed Poster Session A
Kwangjun Ahn · Kangwook Lee · Hyunseung Cha · Changho Suh
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #65
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
In Wed Poster Session A
Yining Wang · Sivaraman Balakrishnan · Aarti Singh
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #66
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
In Wed Poster Session A
Grant Rotskoff · Eric Vanden-Eijnden
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #67
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
In Wed Poster Session A
Tianyi Liu · Shiyang Li · Jianping Shi · Enlu Zhou · Tuo Zhao
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #68
Asymptotic optimality of adaptive importance sampling
In Wed Poster Session A
François Portier · Bernard Delyon
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #69
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
In Wed Poster Session A
Zehong Hu · Yitao Liang · Jie Zhang · Zhao Li · Yang Liu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #70
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
In Wed Poster Session A
Omer Ben-Porat · Moshe Tennenholtz
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #71
A Mathematical Model For Optimal Decisions In A Representative Democracy
In Wed Poster Session A
Malik Magdon-Ismail · Lirong Xia
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #72
Universal Growth in Production Economies
In Wed Poster Session A
Simina Branzei · Ruta Mehta · Noam Nisan
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #73
Convex Elicitation of Continuous Properties
In Wed Poster Session A
Jessica Finocchiaro · Rafael Frongillo
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #74
Contextual Pricing for Lipschitz Buyers
In Wed Poster Session A
Jieming Mao · Renato Leme · Jon Schneider
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #75
Learning in Games with Lossy Feedback
In Wed Poster Session A
Zhengyuan Zhou · Panayotis Mertikopoulos · Susan Athey · Nicholas Bambos · Peter W Glynn · Yinyu Ye
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #76
Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games
In Wed Poster Session A
Yun Kuen Cheung
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #77
Solving Large Sequential Games with the Excessive Gap Technique
In Wed Poster Session A
Christian Kroer · Gabriele Farina · Tuomas Sandholm
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #78
Practical exact algorithm for trembling-hand equilibrium refinements in games
In Wed Poster Session A
Gabriele Farina · Nicola Gatti · Tuomas Sandholm
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #79
Improving Online Algorithms via ML Predictions
In Wed Poster Session A
Manish Purohit · Zoya Svitkina · Ravi Kumar
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #80
Variance-Reduced Stochastic Gradient Descent on Streaming Data
In Wed Poster Session A
Ellango Jothimurugesan · Ashraf Tahmasbi · Phillip Gibbons · Srikanta Tirthapura
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #81
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
In Wed Poster Session A
Sarah Dean · Horia Mania · Nikolai Matni · Benjamin Recht · Stephen Tu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #82
PAC-learning in the presence of adversaries
In Wed Poster Session A
Daniel Cullina · Arjun Nitin Bhagoji · Prateek Mittal
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #83
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
In Wed Poster Session A
Jiecao Chen · Qin Zhang · Yuan Zhou
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #84
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
In Wed Poster Session A
Yixi Xu · Xiao Wang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #85
Generalization Bounds for Uniformly Stable Algorithms
In Wed Poster Session A
Vitaly Feldman · Jan Vondrak
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #86
Minimax Statistical Learning with Wasserstein distances
In Wed Poster Session A
Jaeho Lee · Maxim Raginsky
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #87
Differentially Private Uniformly Most Powerful Tests for Binomial Data
In Wed Poster Session A
Jordan Awan · Aleksandra Slavković
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #88
Sketching Method for Large Scale Combinatorial Inference
In Wed Poster Session A
Wei Sun · Junwei Lu · Han Liu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #89
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
In Wed Poster Session A
Sheng Chen · Arindam Banerjee
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #90
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
In Wed Poster Session A
Ian En-Hsu Yen · Wei-Cheng Lee · Kai Zhong · Sung-En Chang · Pradeep Ravikumar · Shou-De Lin
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #91
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
In Wed Poster Session A
Hendrik Fichtenberger · Dennis Rohde
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #92
Sharp Bounds for Generalized Uniformity Testing
In Wed Poster Session A
Ilias Diakonikolas · Daniel M. Kane · Alistair Stewart
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #93
Testing for Families of Distributions via the Fourier Transform
In Wed Poster Session A
Alistair Stewart · Ilias Diakonikolas · Clément L Canonne
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #94
High Dimensional Linear Regression using Lattice Basis Reduction
In Wed Poster Session A
Ilias Zadik · David Gamarnik
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #95
$\ell_1$-regression with Heavy-tailed Distributions
In Wed Poster Session A
Lijun Zhang · Zhi-Hua Zhou
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #96
Constant Regret, Generalized Mixability, and Mirror Descent
In Wed Poster Session A
Zakaria Mhammedi · Robert Williamson
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #97
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
In Wed Poster Session A
Yunwen Lei · Ke Tang
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #98
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
In Wed Poster Session A
Dylan Foster · Ayush Sekhari · Karthik Sridharan
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #99
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
In Wed Poster Session A
Mingrui Liu · Xiaoxuan Zhang · Lijun Zhang · Rong Jin · Tianbao Yang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #100
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
In Wed Poster Session A
Hassan Ashtiani · Shai Ben-David · Nicholas Harvey · Christopher Liaw · Abbas Mehrabian · Yaniv Plan
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #101
Early Stopping for Nonparametric Testing
In Wed Poster Session A
Meimei Liu · Guang Cheng
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #102
Chaining Mutual Information and Tightening Generalization Bounds
In Wed Poster Session A
Amir Asadi · Emmanuel Abbe · Sergio Verdu
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #103
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
In Wed Poster Session A
Yik Chau (Kry) Lui · Gavin Weiguang Ding · Ruitong Huang · Robert McCann
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #104
Minimax Estimation of Neural Net Distance
In Wed Poster Session A
Kaiyi Ji · Yingbin Liang
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #105
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
In Wed Poster Session A
Kirill Struminsky · Simon Lacoste-Julien · Anton Osokin
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #106
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
In Wed Poster Session A
Victor-Emmanuel Brunel
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #107
Data-dependent PAC-Bayes priors via differential privacy
In Wed Poster Session A
Gintare Karolina Dziugaite · Daniel Roy
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #108
Computationally and statistically efficient learning of causal Bayes nets using path queries
In Wed Poster Session A
Kevin Bello · Jean Honorio
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #109
PAC-Bayes Tree: weighted subtrees with guarantees
In Wed Poster Session A
Tin Nguyen · Samory Kpotufe
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #110
A loss framework for calibrated anomaly detection
In Wed Poster Session A
Aditya Menon · Robert Williamson
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #111
On Oracle-Efficient PAC RL with Rich Observations
In Wed Poster Session A
Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #112
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
In Wed Poster Session A
Dimitrios Diochnos · Saeed Mahloujifar · Mohammad Mahmoody
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #113
Learning from discriminative feature feedback
In Wed Poster Session A
Sanjoy Dasgupta · Sivan Sabato · Nicholas Roberts · Akansha Dey
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #114
How to Start Training: The Effect of Initialization and Architecture
In Wed Poster Session A
Boris Hanin · David Rolnick
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #115
Bilevel Distance Metric Learning for Robust Image Recognition
In Wed Poster Session A
Jie Xu · Lei Luo · Cheng Deng · Heng Huang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #116
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
In Wed Poster Session A
Wenqi Ren · Jiawei Zhang · Lin Ma · Jinshan Pan · Xiaochun Cao · Wangmeng Zuo · Wei Liu · Ming-Hsuan Yang
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #117
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
In Wed Poster Session A
Joel Ruben Antony Moniz · Christopher Beckham · Simon Rajotte · Sina Honari · Chris Pal
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #118
Neighbourhood Consensus Networks
In Wed Poster Session A
Ignacio Rocco · Mircea Cimpoi · Relja Arandjelović · Akihiko Torii · Tomas Pajdla · Josef Sivic
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #119
Recurrent Transformer Networks for Semantic Correspondence
In Wed Poster Session A
Seungryong Kim · Stephen Lin · Sangryul Jeon · Dongbo Min · Kwanghoon Sohn
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #120
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
In Wed Poster Session A
Andrei Zanfir · Elisabeta Marinoiu · Mihai Zanfir · Alin-Ionut Popa · Cristian Sminchisescu
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #121
A Neural Compositional Paradigm for Image Captioning
In Wed Poster Session A
Bo Dai · Sanja Fidler · Dahua Lin
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #122
Visual Memory for Robust Path Following
In Wed Poster Session A
Ashish Kumar · Saurabh Gupta · David Fouhey · Sergey Levine · Jitendra Malik
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #123
Learning to Exploit Stability for 3D Scene Parsing
In Wed Poster Session A
Yilun Du · Zhijian Liu · Hector Basevi · Ales Leonardis · Bill Freeman · Josh Tenenbaum · Jiajun Wu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #124
Learning to Decompose and Disentangle Representations for Video Prediction
In Wed Poster Session A
Jun-Ting Hsieh · Bingbin Liu · De-An Huang · Li Fei-Fei · Juan Carlos Niebles
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #125
Weakly Supervised Dense Event Captioning in Videos
In Wed Poster Session A
Xin Wang · Wenbing Huang · Chuang Gan · Jingdong Wang · Wenwu Zhu · Junzhou Huang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #126
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
In Wed Poster Session A
Seonghyeon Nam · Yunji Kim · Seon Joo Kim
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #127
A Probabilistic U-Net for Segmentation of Ambiguous Images
In Wed Poster Session A
Simon Kohl · Bernardino Romera-Paredes · Clemens Meyer · Jeffrey De Fauw · Joseph R. Ledsam · Klaus Maier-Hein · S. M. Ali Eslami · Danilo Jimenez Rezende · Olaf Ronneberger
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #128
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
In Wed Poster Session A
Gabriel Synnaeve · Zeming Lin · Jonas Gehring · Dan Gant · Vegard Mella · Vasil Khalidov · Nicolas Carion · Nicolas Usunier
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #129
Adversarial Text Generation via Feature-Mover's Distance
In Wed Poster Session A
Liqun Chen · Shuyang Dai · Chenyang Tao · Haichao Zhang · Zhe Gan · Dinghan Shen · Yizhe Zhang · Guoyin Wang · Dinghan Shen · Lawrence Carin
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #130
Virtual Class Enhanced Discriminative Embedding Learning
In Wed Poster Session A
Binghui Chen · Weihong Deng · Haifeng Shen
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #131
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
In Wed Poster Session A
Mrinmaya Sachan · Kumar Avinava Dubey · Tom Mitchell · Dan Roth · Eric Xing
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #132
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
In Wed Poster Session A
Youjie Li · Mingchao Yu · Songze Li · Salman Avestimehr · Nam Sung Kim · Alex Schwing
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #133
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
In Wed Poster Session A
Helena Peic Tukuljac · Antoine Deleforge · Remi Gribonval
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #134
Diminishing Returns Shape Constraints for Interpretability and Regularization
In Wed Poster Session A
Maya Gupta · Dara Bahri · Andrew Cotter · Kevin Canini
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #135
Fairness Through Computationally-Bounded Awareness
In Wed Poster Session A
Michael Kim · Omer Reingold · Guy Rothblum
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #136
On preserving non-discrimination when combining expert advice
In Wed Poster Session A
Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #137
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
In Wed Poster Session A
Hoda Heidari · Claudio Ferrari · Krishna Gummadi · Andreas Krause
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #138
Inequity aversion improves cooperation in intertemporal social dilemmas
In Wed Poster Session A
Edward Hughes · Joel Leibo · Matthew Phillips · Karl Tuyls · Edgar Dueñez-Guzman · Antonio García Castañeda · Iain Dunning · Tina Zhu · Kevin McKee · Raphael Koster · Heather Roff · Thore Graepel
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #139
On Misinformation Containment in Online Social Networks
In Wed Poster Session A
Amo Tong · Ding-Zhu Du · Weili Wu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #140
Found Graph Data and Planted Vertex Covers
In Wed Poster Session A
Austin Benson · Jon Kleinberg
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #141
Inferring Networks From Random Walk-Based Node Similarities
In Wed Poster Session A
Jeremy Hoskins · Cameron Musco · Christopher Musco · Charalampos Tsourakakis
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #142
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
In Wed Poster Session A
Laming Chen · Guoxin Zhang · Eric Zhou
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #143
Unorganized Malicious Attacks Detection
In Wed Poster Session A
Ming Pang · Wei Gao · Min Tao · Zhi-Hua Zhou
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #144
Scalable Robust Matrix Factorization with Nonconvex Loss
In Wed Poster Session A
Quanming Yao · James Kwok
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #145
Differentially Private Robust Low-Rank Approximation
In Wed Poster Session A
Raman Arora · Vladimir Braverman · Jalaj Upadhyay
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #146
Differential Privacy for Growing Databases
In Wed Poster Session A
Rachel Cummings · Sara Krehbiel · Kevin A Lai · Uthaipon Tantipongpipat
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #147
Efficient Neural Network Robustness Certification with General Activation Functions
In Wed Poster Session A
Huan Zhang · Tsui-Wei Weng · Pin-Yu Chen · Cho-Jui Hsieh · Luca Daniel
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #148
Spectral Signatures in Backdoor Attacks
In Wed Poster Session A
Brandon Tran · Jerry Li · Aleksander Madry
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #149
Constructing Unrestricted Adversarial Examples with Generative Models
In Wed Poster Session A
Yang Song · Rui Shu · Nate Kushman · Stefano Ermon
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #150
Sublinear Time Low-Rank Approximation of Distance Matrices
In Wed Poster Session A
Ainesh Bakshi · David Woodruff
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #151
Leveraged volume sampling for linear regression
In Wed Poster Session A
Michal Derezinski · Manfred K. Warmuth · Daniel Hsu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #152
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
In Wed Poster Session A
Sofiane Dhouib · Ievgen Redko
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #153
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
In Wed Poster Session A
Giulia Luise · Alessandro Rudi · Massimiliano Pontil · Carlo Ciliberto
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #154
Algorithms and Theory for Multiple-Source Adaptation
In Wed Poster Session A
Judy Hoffman · Mehryar Mohri · Ningshan Zhang
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #155
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
In Wed Poster Session A
Hexiang Hu · Liyu Chen · Boqing Gong · Fei Sha
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #156
Acceleration through Optimistic No-Regret Dynamics
In Wed Poster Session A
Jun-Kun Wang · Jacob Abernethy
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #157
Efficient Online Portfolio with Logarithmic Regret
In Wed Poster Session A
Haipeng Luo · Chen-Yu Wei · Kai Zheng
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #158
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
In Wed Poster Session A
Han Shao · Xiaotian Yu · Irwin King · Michael R Lyu
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #159
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
In Wed Poster Session A
Sampath Kannan · Jamie Morgenstern · Aaron Roth · Bo Waggoner · Zhiwei Steven Wu
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #160
Exploration in Structured Reinforcement Learning
In Wed Poster Session A
Jungseul Ok · Alexandre Proutiere · Damianos Tranos
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #161
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
In Wed Poster Session A
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #162
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
In Wed Poster Session A
Tengyang Xie · Bo Liu · Yangyang Xu · Mohammad Ghavamzadeh · Yinlam Chow · Daoming Lyu · Daesub Yoon
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #163
Learning Safe Policies with Expert Guidance
In Wed Poster Session A
Jessie Huang · Fa Wu · Doina Precup · Yang Cai
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #164
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
In Wed Poster Session A
Yelong Shen · Jianshu Chen · Po-Sen Huang · Yuqing Guo · Jianfeng Gao
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #165
Is Q-Learning Provably Efficient?
In Wed Poster Session A
Chi Jin · Zeyuan Allen-Zhu · Sebastien Bubeck · Michael Jordan
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #166
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
In Wed Poster Session A
Justin Fu · Avi Singh · Dibya Ghosh · Larry Yang · Sergey Levine
[ Paper] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #167
An Off-policy Policy Gradient Theorem Using Emphatic Weightings
In Wed Poster Session A
Ehsan Imani · Eric Graves · Martha White
[ Paper]  [ Poster] 
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #168
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
In Wed Poster Session A
Aaron Sidford · Mengdi Wang · Xian Wu · Lin Yang · Yinyu Ye
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #169
Monte-Carlo Tree Search for Constrained POMDPs
In Wed Poster Session A
Jongmin Lee · Geon-Hyeong Kim · Pascal Poupart · Kee-Eung Kim
[ Paper]