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169 Program Highlights »
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Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #1
Balanced Policy Evaluation and Learning
Nathan Kallus
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #2
Exponentiated Strongly Rayleigh Distributions
Zelda Mariet · Suvrit Sra · Stefanie Jegelka
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #3
Parsimonious Bayesian deep networks
Mingyuan Zhou
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #4
Stein Variational Gradient Descent as Moment Matching
Qiang Liu · Dilin Wang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #5
Hamiltonian Variational Auto-Encoder
Anthony L Caterini · Arnaud Doucet · Dino Sejdinovic
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #6
Predictive Approximate Bayesian Computation via Saddle Points
Yingxiang Yang · Bo Dai · Negar Kiyavash · Niao He
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #7
Importance Weighting and Variational Inference
Justin Domke · Daniel Sheldon
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #8
Orthogonally Decoupled Variational Gaussian Processes
Hugh Salimbeni · Ching-An Cheng · Byron Boots · Marc Deisenroth
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #9
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang · Scott Sievert · Shengchao Liu · Zachary Charles · Dimitris Papailiopoulos · Stephen Wright
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #10
Sparsified SGD with Memory
Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #11
SEGA: Variance Reduction via Gradient Sketching
Filip Hanzely · Konstantin Mishchenko · Peter Richtarik
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #12
Non-monotone Submodular Maximization in Exponentially Fewer Iterations
Eric Balkanski · Adam Breuer · Yaron Singer
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #13
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
Conghui Tan · Tong Zhang · Shiqian Ma · Ji Liu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #14
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
Junqi Tang · Mohammad Golbabaee · Francis Bach · Mike E davies
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #15
Inexact trust-region algorithms on Riemannian manifolds
Hiroyuki Kasai · Bamdev Mishra
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #16
On Markov Chain Gradient Descent
Tao Sun · Yuejiao Sun · Wotao Yin
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #17
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
Zhiqiang Xu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #18
Global Non-convex Optimization with Discretized Diffusions
Murat A Erdogdu · Lester Mackey · Ohad Shamir
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #19
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
Cedric Josz · Yi Ouyang · Richard Zhang · Javad Lavaei · Somayeh Sojoudi
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #20
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
Constantinos Daskalakis · Ioannis Panageas
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #21
Porcupine Neural Networks: Approximating Neural Network Landscapes
Soheil Feizi · Hamid Javadi · Jesse Zhang · David Tse
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #22
Adding One Neuron Can Eliminate All Bad Local Minima
SHIYU LIANG · Ruoyu Sun · Jason Lee · R. Srikant
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #23
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang · Shawn Tan · Alexandre Lacoste · Aaron Courville
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #24
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam Kosiorek · Hyunjik Kim · Yee Whye Teh · Ingmar Posner
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #25
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz · Leonid Karlinsky · Joseph Shtok · Sivan Harary · Mattias Marder · Abhishek Kumar · Rogerio Feris · Raja Giryes · Alex Bronstein
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #26
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Hajin Shim · Sung Ju Hwang · Eunho Yang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #27
PCA of high dimensional random walks with comparison to neural network training
Joseph Antognini · Jascha Sohl-Dickstein
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #28
Insights on representational similarity in neural networks with canonical correlation
Ari Morcos · Maithra Raghu · Samy Bengio
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #29
Adversarial vulnerability for any classifier
Alhussein Fawzi · Hamza Fawzi · Omar Fawzi
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #30
Sanity Checks for Saliency Maps
Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #31
MetaGAN: An Adversarial Approach to Few-Shot Learning
Ruixiang ZHANG · Tong Che · Zoubin Ghahramani · Yoshua Bengio · Yangqiu Song
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #32
Deep Generative Models with Learnable Knowledge Constraints
Zhiting Hu · Zichao Yang · Ruslan Salakhutdinov · LIANHUI Qin · Xiaodan Liang · Haoye Dong · Eric Xing
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #33
Learning Attractor Dynamics for Generative Memory
Yan Wu · Gregory Wayne · Karol Gregor · Timothy Lillicrap
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #34
Fast deep reinforcement learning using online adjustments from the past
Steven Hansen · Alexander Pritzel · Pablo Sprechmann · Andre Barreto · Charles Blundell
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #35
Blockwise Parallel Decoding for Deep Autoregressive Models
Mitchell Stern · Noam Shazeer · Jakob Uszkoreit
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #36
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar · Lior Wolf
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #37
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
Zi Yin · Vin Sachidananda · Balaji Prabhakar
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #38
End-to-End Differentiable Physics for Learning and Control
Filipe de Avila Belbute-Peres · Kevin Smith · Kelsey Allen · Josh Tenenbaum · J. Zico Kolter
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #39
Neural Arithmetic Logic Units
Andrew Trask · Felix Hill · Scott Reed · Jack Rae · Chris Dyer · Phil Blunsom
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #40
Reinforced Continual Learning
Ju Xu · Zhanxing Zhu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #41
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi · W. Ronny Huang · Mahyar Najibi · Octavian Suciu · Christoph Studer · Tudor Dumitras · Tom Goldstein
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #42
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi · Hongseok Namkoong · Ozan Sener · John Duchi · Vittorio Murino · Silvio Savarese
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #43
On the Local Hessian in Back-propagation
Huishuai Zhang · Wei Chen · Tie-Yan Liu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #44
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #45
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Bart van Merrienboer · Dan Moldovan · Alexander Wiltschko
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #46
Simple, Distributed, and Accelerated Probabilistic Programming
Dustin Tran · Matthew Hoffman · Dave Moore · Christopher Suter · Srinivas Vasudevan · Alexey Radul · Matthew Johnson · Rif A. Saurous
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #47
Power-law efficient neural codes provide general link between perceptual bias and discriminability
Michael Morais · Jonathan W Pillow
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #48
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi · Tsung-Yi Lin · Quoc V Le
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #49
Learning sparse neural networks via sensitivity-driven regularization
Enzo Tartaglione · Skjalg Lepsøy · Attilio Fiandrotti · Gianluca Francini
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #50
Critical initialisation for deep signal propagation in noisy rectifier neural networks
Arnu Pretorius · Elan van Biljon · Steve Kroon · Herman Kamper
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #51
The streaming rollout of deep networks - towards fully model-parallel execution
Volker Fischer · Jan Koehler · Thomas Pfeil
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #52
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
Jeffrey Pennington · Pratik Worah
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #53
Learning Optimal Reserve Price against Non-myopic Bidders
Jinyan Liu · Zhiyi Huang · Xiangning Wang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #54
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
HOLDEN LEE · Andrej Risteski · Rong Ge
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #55
On Binary Classification in Extreme Regions
Hamid JALALZAI · Stephan Clémençon · Anne Sabourin
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #56
PAC-Bayes bounds for stable algorithms with instance-dependent priors
Omar Rivasplata · Csaba Szepesvari · John Shawe-Taylor · Emilio Parrado-Hernandez · Shiliang Sun
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #57
Improved Algorithms for Collaborative PAC Learning
Huy Nguyen · Lydia Zakynthinou
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #58
Data Amplification: A Unified and Competitive Approach to Property Estimation
Yi HAO · Alon Orlitsky · Ananda Theertha Suresh · Yihong Wu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #59
Mean-field theory of graph neural networks in graph partitioning
Tatsuro Kawamoto · Masashi Tsubaki · Tomoyuki Obuchi
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #60
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon · Surya Ganguli
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #61
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
Alyson Fletcher · Parthe Pandit · Sundeep Rangan · Subrata Sarkar · Philip Schniter
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #62
The Description Length of Deep Learning models
Léonard Blier · Yann Ollivier
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #63
Deepcode: Feedback Codes via Deep Learning
Hyeji Kim · Yihan Jiang · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #64
Binary Rating Estimation with Graph Side Information
Kwangjun Ahn · Kangwook Lee · Hyunseung Cha · Changho Suh
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #65
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
Yining Wang · Sivaraman Balakrishnan · Aarti Singh
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #66
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
Grant Rotskoff · Eric Vanden-Eijnden
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #67
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Tianyi Liu · Shiyang Li · Jianping Shi · Enlu Zhou · Tuo Zhao
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #68
Asymptotic optimality of adaptive importance sampling
François Portier · Bernard Delyon
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #69
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Zehong Hu · Yitao Liang · Jie Zhang · Zhao Li · Yang Liu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #70
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
Omer Ben-Porat · Moshe Tennenholtz
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #71
A Mathematical Model For Optimal Decisions In A Representative Democracy
Malik Magdon-Ismail · Lirong Xia
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #72
Universal Growth in Production Economies
Simina Branzei · Ruta Mehta · Noam Nisan
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #73
Convex Elicitation of Continuous Properties
Jessica Finocchiaro · Rafael Frongillo
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #74
Contextual Pricing for Lipschitz Buyers
Jieming Mao · Renato Leme · Jon Schneider
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #75
Learning in Games with Lossy Feedback
Zhengyuan Zhou · Panayotis Mertikopoulos · Susan Athey · Nicholas Bambos · Peter W Glynn · Yinyu Ye
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #76
Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games
Yun Kuen Cheung
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #77
Solving Large Sequential Games with the Excessive Gap Technique
Christian Kroer · Gabriele Farina · Tuomas Sandholm
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #78
Practical exact algorithm for trembling-hand equilibrium refinements in games
Gabriele Farina · Nicola Gatti · Tuomas Sandholm
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #79
Improving Online Algorithms via ML Predictions
Manish Purohit · Zoya Svitkina · Ravi Kumar
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #80
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Ellango Jothimurugesan · Ashraf Tahmasbi · Phillip Gibbons · Srikanta Tirthapura
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #81
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Sarah Dean · Horia Mania · Nikolai Matni · Benjamin Recht · Stephen Tu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #82
PAC-learning in the presence of adversaries
Daniel Cullina · Arjun Nitin Bhagoji · Prateek Mittal
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #83
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
Jiecao Chen · Qin Zhang · Yuan Zhou
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #84
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Yixi Xu · Xiao Wang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #85
Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman · Jan Vondrak
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #86
Minimax Statistical Learning with Wasserstein distances
Jaeho Lee · Maxim Raginsky
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #87
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Jordan Awan · Aleksandra Slavković
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #88
Sketching Method for Large Scale Combinatorial Inference
Wei Sun · Junwei Lu · Han Liu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #89
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Sheng Chen · Arindam Banerjee
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #90
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
Ian En-Hsu Yen · Wei-Cheng Lee · Kai Zhong · Sung-En Chang · Pradeep Ravikumar · Shou-De Lin
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #91
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
Hendrik Fichtenberger · Dennis Rohde
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #92
Sharp Bounds for Generalized Uniformity Testing
Ilias Diakonikolas · Daniel M. Kane · Alistair Stewart
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #93
Testing for Families of Distributions via the Fourier Transform
Alistair Stewart · Ilias Diakonikolas · Clement Canonne
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #94
High Dimensional Linear Regression using Lattice Basis Reduction
Ilias Zadik · David Gamarnik
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #95
$\ell_1$-regression with Heavy-tailed Distributions
Lijun Zhang · Zhi-Hua Zhou
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #96
Constant Regret, Generalized Mixability, and Mirror Descent
Zakaria Mhammedi · Robert Williamson
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #97
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Yunwen Lei · Ke Tang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #98
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
Dylan Foster · Ayush Sekhari · Karthik Sridharan
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #99
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
Mingrui Liu · Xiaoxuan Zhang · Lijun Zhang · Jing Rong · Tianbao Yang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #100
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani · Shai Ben-David · Nick Harvey · Christopher Liaw · Abbas Mehrabian · Yaniv Plan
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #101
Early Stopping for Nonparametric Testing
Meimei Liu · Guang Cheng
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #102
Chaining Mutual Information and Tightening Generalization Bounds
Amir Asadi · Emmanuel Abbe · Sergio Verdu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #103
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Kry Lui · Gavin Weiguang Ding · Ruitong Huang · Robert McCann
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #104
Minimax Estimation of Neural Net Distance
Kaiyi Ji · Yingbin Liang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #105
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Kirill Struminsky · Simon Lacoste-Julien · Anton Osokin
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #106
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Victor-Emmanuel Brunel
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #107
Data-dependent PAC-Bayes priors via differential privacy
Gintare Karolina Dziugaite · Daniel Roy
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #108
Computationally and statistically efficient learning of causal Bayes nets using path queries
Kevin Bello · Jean Honorio
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #109
PAC-Bayes Tree: weighted subtrees with guarantees
Tin D Nguyen · Samory Kpotufe
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #110
A loss framework for calibrated anomaly detection
Aditya Menon · Robert Williamson
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #111
On Oracle-Efficient PAC RL with Rich Observations
Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #112
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Dimitrios Diochnos · Saeed Mahloujifar · Mohammad Mahmoody
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #113
Learning from discriminative feature feedback
Sanjoy Dasgupta · Sivan Sabato · Nicholas Roberts · Akansha Dey
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #114
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin · David Rolnick
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #115
Bilevel Distance Metric Learning for Robust Image Recognition
Jie Xu · Lei Luo · Cheng Deng · Heng Huang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #116
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
Wenqi Ren · Jiawei Zhang · Lin Ma · Jinshan Pan · Xiaochun Cao · Wangmeng Zuo · Wei Liu · Ming-Hsuan Yang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #117
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Joel Ruben Antony Moniz · Christopher Beckham · Simon Rajotte · Sina Honari · Chris Pal
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #118
Neighbourhood Consensus Networks
Ignacio Rocco · Mircea Cimpoi · Relja Arandjelović · Akihiko Torii · Tomas Pajdla · Josef Sivic
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #119
Recurrent Transformer Networks for Semantic Correspondence
Seungryong Kim · Stephen Lin · SANG RYUL JEON · Dongbo Min · Kwanghoon Sohn
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #120
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Andrei Zanfir · Elisabeta Marinoiu · Mihai Zanfir · Alin-Ionut Popa · Cristian Sminchisescu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #121
A Neural Compositional Paradigm for Image Captioning
Bo Dai · Sanja Fidler · Dahua Lin
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #122
Visual Memory for Robust Path Following
Ashish Kumar · Saurabh Gupta · David Fouhey · Sergey Levine · Jitendra Malik
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #123
Learning to Exploit Stability for 3D Scene Parsing
Yilun Du · Zhijian Liu · Hector Basevi · Ales Leonardis · Bill Freeman · Josh Tenenbaum · Jiajun Wu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #124
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh · Bingbin Liu · De-An Huang · Li Fei-Fei · Juan Carlos Niebles
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #125
Weakly Supervised Dense Event Captioning in Videos
Xuguang Duan · Wenbing Huang · Chuang Gan · Jingdong Wang · Wenwu Zhu · Junzhou Huang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #126
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Seonghyeon Nam · Yunji Kim · Seon Joo Kim
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #127
A Probabilistic U-Net for Segmentation of Ambiguous Images
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 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #128
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
Gabriel Synnaeve · Zeming Lin · Jonas Gehring · Dan Gant · Vegard Mella · Vasil Khalidov · Nicolas Carion · Nicolas Usunier
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #129
Adversarial Text Generation via Feature-Mover's Distance
Liqun Chen · Shuyang Dai · Chenyang Tao · Haichao Zhang · Zhe Gan · Dinghan Shen · Yizhe Zhang · Guoyin Wang · Ruiyi Zhang · Lawrence Carin
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #130
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen · Weihong Deng · Haifeng Shen
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #131
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
Mrinmaya Sachan · Kumar Avinava Dubey · Tom Mitchell · Dan Roth · Eric Xing
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #132
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Youjie Li · Mingchao Yu · Songze Li · Salman Avestimehr · Nam Sung Kim · Alexander Schwing
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #133
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Helena Peic Tukuljac · Antoine Deleforge · Remi Gribonval
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #134
Diminishing Returns Shape Constraints for Interpretability and Regularization
Maya Gupta · Dara Bahri · Andrew Cotter · Kevin Canini
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #135
Fairness Through Computationally-Bounded Awareness
Michael Kim · Omer Reingold · Guy Rothblum
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #136
On preserving non-discrimination when combining expert advice
Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #137
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Hoda Heidari · Claudio Ferrari · Krishna Gummadi · Andreas Krause
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #138
Inequity aversion improves cooperation in intertemporal social dilemmas
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
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #139
On Misinformation Containment in Online Social Networks
Amo Tong · Ding-Zhu Du · Weili Wu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #140
Found Graph Data and Planted Vertex Covers
Austin Benson · Jon Kleinberg
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #141
Inferring Networks From Random Walk-Based Node Similarities
Jeremy Hoskins · Cameron Musco · Christopher Musco · Babis Tsourakakis
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #142
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
Laming Chen · Guoxin Zhang · Eric Zhou
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #143
Unorganized Malicious Attacks Detection
Ming Pang · Wei Gao · Min Tao · Zhi-Hua Zhou
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #144
Scalable Robust Matrix Factorization with Nonconvex Loss
Quanming Yao · James Kwok
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #145
Differentially Private Robust Low-Rank Approximation
Raman Arora · Vladimir braverman · Jalaj Upadhyay
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #146
Differential Privacy for Growing Databases
Rachel Cummings · Sara Krehbiel · Kevin A Lai · Uthaipon Tantipongpipat
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #147
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang · Tsui-Wei Weng · Pin-Yu Chen · Cho-Jui Hsieh · Luca Daniel
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #148
Spectral Signatures in Backdoor Attacks
Brandon Tran · Jerry Li · Aleksander Madry
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #149
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song · Rui Shu · Nate Kushman · Stefano Ermon
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #150
Sublinear Time Low-Rank Approximation of Distance Matrices
Ainesh Bakshi · David Woodruff
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #151
Leveraged volume sampling for linear regression
Michal Derezinski · Manfred Warmuth · Daniel Hsu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #152
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Sofiane Dhouib · Ievgen Redko
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #153
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise · Alessandro Rudi · Massimiliano Pontil · Carlo Ciliberto
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #154
Algorithms and Theory for Multiple-Source Adaptation
Judy Hoffman · Mehryar Mohri · Ningshan Zhang
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #155
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
Hexiang Hu · Liyu Chen · Boqing Gong · Fei Sha
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #156
Acceleration through Optimistic No-Regret Dynamics
Jun-Kun Wang · Jacob Abernethy
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #157
Efficient Online Portfolio with Logarithmic Regret
Haipeng Luo · Chen-Yu Wei · Kai Zheng
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #158
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Han Shao · Xiaotian Yu · Irwin King · Michael Lyu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #159
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Sampath Kannan · Jamie Morgenstern · Aaron Roth · Bo Waggoner · Zhiwei Steven Wu
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #160
Exploration in Structured Reinforcement Learning
Jungseul Ok · Alexandre Proutiere · Damianos Tranos
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #161
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #162
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Tengyang Xie · Bo Liu · Yangyang Xu · Mohammad Ghavamzadeh · Yinlam Chow · Daoming Lyu · Daesub Yoon
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #163
Learning Safe Policies with Expert Guidance
Jessie Huang · Fa Wu · Doina Precup · Yang Cai
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #164
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen · Jianshu Chen · Po-Sen Huang · Yuqing Guo · Jianfeng Gao
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #165
Is Q-Learning Provably Efficient?
Chi Jin · Zeyuan Allen-Zhu · Sebastien Bubeck · Michael Jordan
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #166
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu · Avi Singh · Dibya Ghosh · Larry Yang · Sergey Levine
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #167
An Off-policy Policy Gradient Theorem Using Emphatic Weightings
Ehsan Imani · Eric Graves · Martha White
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #168
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
Aaron Sidford · Mengdi Wang · Xian Wu · Lin Yang · Yinyu Ye
Poster
Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 & 230 AB #169
Monte-Carlo Tree Search for Constrained POMDPs
Jongmin Lee · Geon-hyeong Kim · Pascal Poupart · Kee-Eung Kim