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Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #175
Federated Principal Component Analysis
Andreas Grammenos · Rodrigo Mendoza Smith · Jon Crowcroft · Cecilia Mascolo
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #176
Learning Differential Equations that are Easy to Solve
Jacob Kelly · Jesse Bettencourt · Matthew Johnson · David Duvenaud
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #177
Learning Rich Rankings
Arjun Seshadri · Stephen Ragain · Johan Ugander
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #178
Self-supervised Co-Training for Video Representation Learning
Tengda Han · Weidi Xie · Andrew Zisserman
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #179
Prophet Attention: Predicting Attention with Future Attention
Fenglin Liu · Xuancheng Ren · Xian Wu · Shen Ge · Wei Fan · Yuexian Zou · Xu Sun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #180
Audeo: Audio Generation for a Silent Performance Video
Kun Su · Xiulong Liu · Eli Shlizerman
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #181
Cascaded Text Generation with Markov Transformers
Yuntian Deng · Alexander Rush
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #182
All Word Embeddings from One Embedding
Sho Takase · Sosuke Kobayashi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #183
Data Diversification: A Simple Strategy For Neural Machine Translation
Xuan-Phi Nguyen · Shafiq Joty · Kui Wu · Ai Ti Aw
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #184
Learning Sparse Prototypes for Text Generation
Junxian He · Taylor Berg-Kirkpatrick · Graham Neubig
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #185
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee · Francis Ferraro
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #186
AViD Dataset: Anonymized Videos from Diverse Countries
AJ Piergiovanni · Michael S Ryoo
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #187
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Jiahao Su · Wonmin Byeon · Jean Kossaifi · Furong Huang · Jan Kautz · Anima Anandkumar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #188
Neural Networks with Small Weights and Depth-Separation Barriers
Gal Vardi · Ohad Shamir
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #189
End-to-End Learning and Intervention in Games
Jiayang Li · Jing Yu · Yu Nie · Zhaoran Wang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #190
Cross-validation Confidence Intervals for Test Error
Pierre Bayle · Alexandre Bayle · Lucas Janson · Lester Mackey
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #191
Learning Robust Decision Policies from Observational Data
Muhammad Osama · Dave Zachariah · Peter Stoica
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #192
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #193
Self-Imitation Learning via Generalized Lower Bound Q-learning
Yunhao Tang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #194
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Yanli Liu · Kaiqing Zhang · Tamer Basar · Wotao Yin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #195
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar · Aviral Kumar · Sergey Levine · Chelsea Finn
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #196
An operator view of policy gradient methods
Dibya Ghosh · Marlos C. Machado · Nicolas Le Roux
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #197
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban · Yu-Ting Huang · Ya-Ping Hsieh · Paul Rolland · Cheng Shi · Volkan Cevher
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #198
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
Tengyu Xu · Zhe Wang · Yingbin Liang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #199
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Pierluca D'Oro · Wojciech Jaśkowski
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #200
The Value Equivalence Principle for Model-Based Reinforcement Learning
Christopher Grimm · Andre Barreto · Satinder Singh · David Silver
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #201
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
Nathan Kallus · Masatoshi Uehara
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #202
Neurosymbolic Reinforcement Learning with Formally Verified Exploration
Greg Anderson · Abhinav Verma · Isil Dillig · Swarat Chaudhuri
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #203
Near-Optimal Reinforcement Learning with Self-Play
Yu Bai · Chi Jin · Tiancheng Yu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #204
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
Junyu Zhang · Alec Koppel · Amrit Singh Bedi · Csaba Szepesvari · Mengdi Wang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #205
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Alekh Agarwal · Mikael Henaff · Sham Kakade · Wen Sun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #206
Deep Multimodal Fusion by Channel Exchanging
Yikai Wang · Wenbing Huang · Fuchun Sun · Tingyang Xu · Yu Rong · Junzhou Huang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #207
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado · Yi Li · Nuno Nvasconcelos
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #208
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
Zijun Cui · Tengfei Song · Yuru Wang · Qiang Ji
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #209
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang · Hanwang Zhang · Jinhui Tang · Xian-Sheng Hua · Qianru Sun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #210
Generative View Synthesis: From Single-view Semantics to Novel-view Images
Tewodros Amberbir Habtegebrial · Varun Jampani · Orazio Gallo · Didier Stricker
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #211
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki Asano · Mandela Patrick · Christian Rupprecht · Andrea Vedaldi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #212
Unfolding the Alternating Optimization for Blind Super Resolution
zhengxiong luo · Yan Huang · Shang Li · Liang Wang · Tieniu Tan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #213
Video Frame Interpolation without Temporal Priors
Youjian Zhang · Chaoyue Wang · Dacheng Tao
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #214
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
Yuxi Li · Ning Xu · Jinlong Peng · John See · Weiyao Lin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #215
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch · Ayellet Tal
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #216
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Kemal Oksuz · Baris Can Cam · Emre Akbas · Sinan Kalkan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #217
Make One-Shot Video Object Segmentation Efficient Again
Tim Meinhardt · Laura Leal-Taixé
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #218
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
peiyao wang · Weixin Luo · Yanyu Xu · Haojie Li · Shugong Xu · Jianyu Yang · Shenghua Gao
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #219
Multi-Plane Program Induction with 3D Box Priors
Yikai Li · Jiayuan Mao · Xiuming Zhang · Bill Freeman · Josh Tenenbaum · Noah Snavely · Jiajun Wu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #220
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sebastien Ehrhardt · Oliver Groth · Aron Monszpart · Martin Engelcke · Ingmar Posner · Niloy Mitra · Andrea Vedaldi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #221
Unsupervised object-centric video generation and decomposition in 3D
Paul Henderson · Christoph Lampert
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #222
Dissecting Neural ODEs
Stefano Massaroli · Michael Poli · Jinkyoo Park · Atsushi Yamashita · Hajime Asama
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #223
On ranking via sorting by estimated expected utility
Clement Calauzenes · Nicolas Usunier
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #224
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
Constantinos Daskalakis · Dhruv Rohatgi · Emmanouil Zampetakis
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #225
Model Interpretability through the lens of Computational Complexity
Pablo Barceló · Mikaël Monet · Jorge Pérez · Bernardo Subercaseaux
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #226
Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity
Simon Du · Jason Lee · Gaurav Mahajan · Ruosong Wang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #227
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab · Tim Roughgarden · Abhishek Shetty
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #228
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Nikos Zarifis
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #229
Hardness of Learning Neural Networks with Natural Weights
Amit Daniely · Gal Vardi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #230
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
Sitan Chen · Frederic Koehler · Ankur Moitra · Morris Yau
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #231
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
Ilias Diakonikolas · Daniel M. Kane · Pasin Manurangsi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #232
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky · Anton Zhevnerchuk
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #233
A Dynamical Central Limit Theorem for Shallow Neural Networks
Zhengdao Chen · Grant Rotskoff · Joan Bruna · Eric Vanden-Eijnden
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #234
Learning Bounds for Risk-sensitive Learning
Jaeho Lee · Sejun Park · Jinwoo Shin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #235
Agnostic Learning of a Single Neuron with Gradient Descent
Spencer Frei · Yuan Cao · Quanquan Gu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #236
Information theoretic limits of learning a sparse rule
Clément Luneau · jean barbier · Nicolas Macris
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #237
From Finite to Countable-Armed Bandits
Anand Kalvit · Assaf Zeevi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #238
Optimal Best-arm Identification in Linear Bandits
Yassir Jedra · Alexandre Proutiere
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #239
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang · Longbo Huang · John C. S. Lui
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #240
Finite Continuum-Armed Bandits
Solenne Gaucher
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #241
Adversarial Blocking Bandits
Nicholas Bishop · Hau Chan · Debmalya Mandal · Long Tran-Thanh
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #242
Inference for Batched Bandits
Kelly Zhang · Lucas Janson · Susan Murphy
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #243
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
Arun Verma · Manjesh Kumar Hanawal · Csaba Szepesvari · Venkatesh Saligrama
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #244
Adversarial Attacks on Linear Contextual Bandits
Evrard Garcelon · Baptiste Roziere · Laurent Meunier · Jean Tarbouriech · Olivier Teytaud · Alessandro Lazaric · Matteo Pirotta
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #245
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
Kwang-Sung Jun · Chicheng Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #246
Finding All $\epsilon$-Good Arms in Stochastic Bandits
Blake Mason · Lalit Jain · Ardhendu Tripathy · Robert Nowak
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #247
An Optimal Elimination Algorithm for Learning a Best Arm
Avinatan Hassidim · Ron Kupfer · Yaron Singer
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #248
Instance-wise Feature Grouping
Aria Masoomi · Chieh T Wu · Tingting Zhao · Zifeng Wang · Peter Castaldi · Jennifer Dy
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #249
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
Weichao Mao · Kaiqing Zhang · Qiaomin Xie · Tamer Basar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #250
Online Planning with Lookahead Policies
Yonathan Efroni · Mohammad Ghavamzadeh · Shie Mannor
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #251
Escaping the Gravitational Pull of Softmax
Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #252
Online Bayesian Persuasion
Matteo Castiglioni · Andrea Celli · Alberto Marchesi · Nicola Gatti
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #253
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering
Elfarouk Harb · Ho Shan Lam
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #254
CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas · Yihe Dong · Gautam Kamath · Jonathan Ullman
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #255
Auditing Differentially Private Machine Learning: How Private is Private SGD?
Matthew Jagielski · Jonathan Ullman · Alina Oprea
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #256
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity
Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #257
Smoothly Bounding User Contributions in Differential Privacy
Alessandro Epasto · Mohammad Mahdian · Jieming Mao · Vahab Mirrokni · Lijie Ren
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #258
Learning from Mixtures of Private and Public Populations
Raef Bassily · Shay Moran · Anupama Nandi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #259
A Computational Separation between Private Learning and Online Learning
Mark Bun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #260
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
Hilal Asi · John Duchi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #261
Improving Sparse Vector Technique with Renyi Differential Privacy
Yuqing Zhu · Yu-Xiang Wang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #262
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen · Tribhuvanesh Orekondy · Mario Fritz
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #263
Private Identity Testing for High-Dimensional Distributions
Clément L Canonne · Gautam Kamath · Audra McMillan · Jonathan Ullman · Lydia Zakynthinou
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #264
Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Ilias Zadik
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #265
Learning discrete distributions: user vs item-level privacy
Yuhan Liu · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Michael D Riley
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #266
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Thomas Berrett · Cristina Butucea
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #267
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
Steven Jecmen · Hanrui Zhang · Ryan Liu · Nihar Shah · Vincent Conitzer · Fei Fang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #268
Phase retrieval in high dimensions: Statistical and computational phase transitions
Antoine Maillard · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #269
Higher-Order Spectral Clustering of Directed Graphs
Steinar Laenen · He Sun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #270
Deep Transformation-Invariant Clustering
Tom Monnier · Thibault Groueix · Mathieu Aubry
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #271
Faster DBSCAN via subsampled similarity queries
Heinrich Jiang · Jennifer Jang · Jakub Lacki
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #272
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
Ines Chami · Albert Gu · Vaggos Chatziafratis · Christopher Ré
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #273
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Meng Liu · David Gleich
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #274
Exact Recovery of Mangled Clusters with Same-Cluster Queries
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #275
Simple and Scalable Sparse k-means Clustering via Feature Ranking
Zhiyue Zhang · Kenneth Lange · Jason Xu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #276
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang · Yuling Yan · Mateo Diaz
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #277
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
Lorenzo Dall'Amico · Romain Couillet · Nicolas Tremblay
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #278
Classification with Valid and Adaptive Coverage
Yaniv Romano · Matteo Sesia · Emmanuel Candes
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #279
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel · Dhruv Mahajan · Bruno Korbar · Lorenzo Torresani · Bernard Ghanem · Du Tran
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #280
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
Yurun Tian · Axel Barroso Laguna · Tony Ng · Vassileios Balntas · Krystian Mikolajczyk
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #281
Distributionally Robust Local Non-parametric Conditional Estimation
Viet Anh Nguyen · Fan Zhang · Jose Blanchet · Erick Delage · Yinyu Ye
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #282
Differentially Private Clustering: Tight Approximation Ratios
Badih Ghazi · Ravi Kumar · Pasin Manurangsi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #283
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
Arun Ganesh · Kunal Talwar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #284
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
Salman Habib · Allison Beemer · Joerg Kliewer
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #285
Non-Euclidean Universal Approximation
Anastasis Kratsios · Ievgen Bilokopytov
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #286
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression
Sidak Pal Singh · Dan Alistarh
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #287
Deep Transformers with Latent Depth
Xian Li · Asa Cooper Stickland · Yuqing Tang · Xiang Kong
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #288
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh · Thomas Wolf · Alexander Rush
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #289
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su · Yihang Chen · Tianle Cai · Tianhao Wu · Ruiqi Gao · Liwei Wang · Jason Lee
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #290
Pruning Filter in Filter
Fanxu Meng · Hao Cheng · Ke Li · Huixiang Luo · Xiaowei Guo · Guangming Lu · Xing Sun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #291
Model Fusion via Optimal Transport
Sidak Pal Singh · Martin Jaggi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #292
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen · Jonathan Frankle · Shiyu Chang · Sijia Liu · Yang Zhang · Zhangyang Wang · Michael Carbin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #293
The Generalization-Stability Tradeoff In Neural Network Pruning
Brian Bartoldson · Ari Morcos · Adrian Barbu · Gordon Erlebacher
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #294
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
Mao Ye · Lemeng Wu · Qiang Liu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #295
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
Lemeng Wu · Bo Liu · Peter Stone · Qiang Liu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #296
HYDRA: Pruning Adversarially Robust Neural Networks
Vikash Sehwag · Shiqi Wang · Prateek Mittal · Suman Jana
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #297
Logarithmic Pruning is All You Need
Laurent Orseau · Marcus Hutter · Omar Rivasplata
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #298
The Implications of Local Correlation on Learning Some Deep Functions
Eran Malach · Shai Shalev-Shwartz
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #299
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
Ankit Pensia · Shashank Rajput · Alliot Nagle · Harit Vishwakarma · Dimitris Papailiopoulos
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #300
Higher-Order Certification For Randomized Smoothing
Jeet Mohapatra · Ching-Yun Ko · Tsui-Wei Weng · Pin-Yu Chen · Sijia Liu · Luca Daniel
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #301
Adversarial robustness via robust low rank representations
Pranjal Awasthi · Himanshu Jain · Ankit Singh Rawat · Aravindan Vijayaraghavan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #302
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman · Mingjie Sun · Greg Yang · Ashish Kapoor · J. Zico Kolter
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #303
Margins are Insufficient for Explaining Gradient Boosting
Allan Grønlund · Lior Kamma · Kasper Green Larsen
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #304
On the Power of Louvain in the Stochastic Block Model
Vincent Cohen-Addad · Adrian Kosowski · Frederik Mallmann-Trenn · David Saulpic
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #305
Robust large-margin learning in hyperbolic space
Melanie Weber · Manzil Zaheer · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #306
Self-Learning Transformations for Improving Gaze and Head Redirection
Yufeng Zheng · Seonwook Park · Xucong Zhang · Shalini De Mello · Otmar Hilliges
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #307
Exactly Computing the Local Lipschitz Constant of ReLU Networks
Matt Jordan · Alexandros Dimakis
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #308
Optimizing Mode Connectivity via Neuron Alignment
Norman J Tatro · Pin-Yu Chen · Payel Das · Igor Melnyk · Prasanna Sattigeri · Rongjie Lai
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #309
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh · Jichan Chung · Dong Yin · Kannan Ramchandran
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #310
On the distance between two neural networks and the stability of learning
Jeremy Bernstein · Arash Vahdat · Yisong Yue · Ming-Yu Liu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #311
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
Heng Yang · Luca Carlone
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #312
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Wenhao Luo · Wen Sun · Ashish Kapoor
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #313
Consequences of Misaligned AI
Simon Zhuang · Dylan Hadfield-Menell
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #314
Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer · Maximilian Baader · Martin Vechev
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #315
Certifying Strategyproof Auction Networks
Michael Curry · Ping-yeh Chiang · Tom Goldstein · John Dickerson
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #316
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
Sumanth Dathathri · Krishnamurthy Dvijotham · Alexey Kurakin · Aditi Raghunathan · Jonathan Uesato · Rudy Bunel · Shreya Shankar · Jacob Steinhardt · Ian Goodfellow · Percy Liang · Pushmeet Kohli
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #317
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider · Evgenia Rusak · Luisa Eck · Oliver Bringmann · Wieland Brendel · Matthias Bethge
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #318
Deeply Learned Spectral Total Variation Decomposition
Tamara G. Grossmann · Yury Korolev · Guy Gilboa · Carola Schoenlieb
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #319
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Miguel Monteiro · Loic Le Folgoc · Daniel Coelho de Castro · Nick Pawlowski · Bernardo Marques · Konstantinos Kamnitsas · Mark van der Wilk · Ben Glocker
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #320
Multiscale Deep Equilibrium Models
Shaojie Bai · Vladlen Koltun · J. Zico Kolter
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #321
Faithful Embeddings for Knowledge Base Queries
Haitian Sun · Andrew Arnold · Tania Bedrax Weiss · Fernando Pereira · William Cohen
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #322
GradAug: A New Regularization Method for Deep Neural Networks
TAOJIANNAN YANG · Sijie Zhu · Chen Chen
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #323
Monotone operator equilibrium networks
Ezra Winston · J. Zico Kolter
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #324
Hierarchical nucleation in deep neural networks
Diego Doimo · Aldo Glielmo · Alessio Ansuini · Alessandro Laio
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #325
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel · Ibrahim Alabdulmohsin · Ilya Tolstikhin · Robert Baldock · Olivier Bousquet · Sylvain Gelly · Daniel Keysers
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #326
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
Thomas Limbacher · Robert Legenstein
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #327
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
Shuxuan Guo · Jose M. Alvarez · Mathieu Salzmann
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #328
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane MARFOQ · CHUAN XU · Giovanni Neglia · Richard Vidal
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #329
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason Yu · Konstantinos Derpanis · Marcus Brubaker
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #330
Woodbury Transformations for Deep Generative Flows
You Lu · Bert Huang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #331
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko · Pavel Izmailov · Andrew Wilson
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #332
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja · Ross Anderson · Joey Huchette · Will Ma · KRUNAL KISHOR PATEL · Juan Pablo Vielma
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #333
Regret in Online Recommendation Systems
Kaito Ariu · Narae Ryu · Se-Young Yun · Alexandre Proutiere
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #334
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding · Yuhan Quan · Quanming Yao · Yong Li · Depeng Jin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #335
Myersonian Regression
Allen Liu · Renato Leme · Jon Schneider
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #336
On Convergence of Nearest Neighbor Classifiers over Feature Transformations
Luka Rimanic · Cedric Renggli · Bo Li · Ce Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #337
Learning Utilities and Equilibria in Non-Truthful Auctions
Hu Fu · Tao Lin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #338
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming
Joey Huchette · Haihao Lu · Hossein Esfandiari · Vahab Mirrokni
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #339
Secretary and Online Matching Problems with Machine Learned Advice
Antonios Antoniadis · Themis Gouleakis · Pieter Kleer · Pavel Kolev
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #340
On the Error Resistance of Hinge-Loss Minimization
Kunal Talwar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #341
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina · Tuomas Sandholm
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #342
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
Yun Kuen Cheung · Georgios Piliouras
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #343
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
Xiaotie Deng · Ron Lavi · Tao Lin · Qi Qi · Wenwei WANG · Xiang Yan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #344
A Bandit Learning Algorithm and Applications to Auction Design
Kim Thang Nguyen
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #345
No-regret Learning in Price Competitions under Consumer Reference Effects
Negin Golrezaei · Patrick Jaillet · Jason Cheuk Nam Liang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #346
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
Sam Hopkins · Jerry Li · Fred Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #347
Partially View-aligned Clustering
Zhenyu Huang · Peng Hu · Joey Tianyi Zhou · Jiancheng Lv · Xi Peng
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #348
MeshSDF: Differentiable Iso-Surface Extraction
Edoardo Remelli · Artem Lukoianov · Stephan Richter · Benoit Guillard · Timur Bagautdinov · Pierre Baque · Pascal Fua
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #349
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian · Qucheng Gong · Yu Jiang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #350
On Infinite-Width Hypernetworks
Etai Littwin · Tomer Galanti · Lior Wolf · Greg Yang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #351
Training Generative Adversarial Networks with Limited Data
Tero Karras · Miika Aittala · Janne Hellsten · Samuli Laine · Jaakko Lehtinen · Timo Aila
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #352
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
Arthur Delarue · Ross Anderson · Christian Tjandraatmadja
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #353
A Self-Tuning Actor-Critic Algorithm
Tom Zahavy · Zhongwen Xu · Vivek Veeriah · Matteo Hessel · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #354
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan · Kris Kitani
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #355
See, Hear, Explore: Curiosity via Audio-Visual Association
Victoria Dean · Shubham Tulsiani · Abhinav Gupta
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #356
Finite-Time Analysis for Double Q-learning
Huaqing Xiong · Lin Zhao · Yingbin Liang · Wei Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #357
Adaptive Discretization for Model-Based Reinforcement Learning
Sean Sinclair · Tianyu Wang · Gauri Jain · Siddhartha Banerjee · Christina Yu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #358
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot · Dhiraj Prakashchand Gandhi · Abhinav Gupta · Russ Salakhutdinov
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #359
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
Shufan Wang · Jian Li · Shiqiang Wang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #360
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
Anders Jonsson · Emilie Kaufmann · Pierre Menard · Omar Darwiche Domingues · Edouard Leurent · Michal Valko
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #361
A new convergent variant of Q-learning with linear function approximation
Diogo Carvalho · Francisco S. Melo · Pedro A. Santos
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #362
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms
Donghwan Lee · Niao He
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #363
Adversarially Robust Streaming Algorithms via Differential Privacy
Avinatan Hasidim · Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #364
Generalized Boosting
Arun Suggala · Bingbin Liu · Pradeep Ravikumar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #365
A Topological Filter for Learning with Label Noise
Pengxiang Wu · Songzhu Zheng · Mayank Goswami · Dimitris Metaxas · Chao Chen
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #366
Learning by Minimizing the Sum of Ranked Range
Shu Hu · Yiming Ying · xin wang · Siwei Lyu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #367
Partial Optimal Tranport with applications on Positive-Unlabeled Learning
Laetitia Chapel · Mokhtar Z. Alaya / Laboratoire LITIS, Université de Rouen Normandie · Gilles Gasso
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #368
Assisted Learning: A Framework for Multi-Organization Learning
Xun Xian · Xinran Wang · Jie Ding · Reza Ghanadan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #369
Learning Disentangled Representations and Group Structure of Dynamical Environments
Robin Quessard · Thomas Barrett · William Clements
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #370
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
Bertrand Charpentier · Daniel Zügner · Stephan Günnemann
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #371
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis · Ethan Perez · Aleksandra Piktus · Fabio Petroni · Vladimir Karpukhin · Naman Goyal · Heinrich Küttler · Mike Lewis · Wen-tau Yih · Tim Rocktäschel · Sebastian Riedel · Douwe Kiela
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #372
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
Ekta Sood · Simon Tannert · Philipp Mueller · Andreas Bulling
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #373
COBE: Contextualized Object Embeddings from Narrated Instructional Video
Gedas Bertasius · Lorenzo Torresani
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #374
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
Jiong Zhu · Yujun Yan · Lingxiao Zhao · Mark Heimann · Leman Akoglu · Danai Koutra
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #375
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng · Karthik Narasimhan · Olga Russakovsky
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #376
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Vitaly Kurin · Saad Godil · Shimon Whiteson · Bryan Catanzaro
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #377
Probably Approximately Correct Constrained Learning
Luiz Chamon · Alejandro Ribeiro
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #378
Sharp uniform convergence bounds through empirical centralization
Cyrus Cousins · Matteo Riondato
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #379
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
Talgat Daulbaev · Alexandr Katrutsa · Larisa Markeeva · Julia Gusak · Andrzej Cichocki · Ivan Oseledets
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #380
Gaussian Gated Linear Networks
David Budden · Adam Marblestone · Eren Sezener · Tor Lattimore · Gregory Wayne · Joel Veness
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #381
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
Ehsan Hajiramezanali · Arman Hasanzadeh · Nick Duffield · Krishna Narayanan · Xiaoning Qian
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #382
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #383
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Nasir Ahmad · Marcel A. J. van Gerven · Luca Ambrogioni
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #384
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey · Ashok Litwin-Kumar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #385
A Theoretical Framework for Target Propagation
Alexander Meulemans · Francesco Carzaniga · Johan Suykens · João Sacramento · Benjamin F. Grewe
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #386
Inductive Quantum Embedding
Santosh Kumar Srivastava · Dinesh Khandelwal · Dhiraj Madan · Dinesh Garg · Hima Karanam · L Venkata Subramaniam
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #387
Optimizing Neural Networks via Koopman Operator Theory
Akshunna S. Dogra · William Redman
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #388
Biological credit assignment through dynamic inversion of feedforward networks
William Podlaski · Christian K. Machens
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #389
On 1/n neural representation and robustness
Josue Nassar · Piotr Sokol · Sueyeon Chung · Kenneth D Harris · Il Memming Park
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #390
Real World Games Look Like Spinning Tops
Wojciech Czarnecki · Gauthier Gidel · Brendan Tracey · Karl Tuyls · Shayegan Omidshafiei · David Balduzzi · Max Jaderberg
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #391
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
Valentin De Bortoli · Alain Durmus · Xavier Fontaine · Umut Simsekli
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #392
Network size and size of the weights in memorization with two-layers neural networks
Sebastien Bubeck · Ronen Eldan · Yin Tat Lee · Dan Mikulincer
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #393
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
Alexander Ritchie · Robert Vandermeulen · Clayton Scott
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #394
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
jean barbier · Nicolas Macris · Cynthia Rush
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #395
Soft Contrastive Learning for Visual Localization
Janine Thoma · Danda Pani Paudel · Luc V Gool
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #396
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
Bruno Lecouat · Jean Ponce · Julien Mairal
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #397
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
Fang Zhao · Shengcai Liao · Kaihao Zhang · Ling Shao
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #398
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Shangchen Zhou · Jiawei Zhang · Wangmeng Zuo · Chen Change Loy
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #399
GPS-Net: Graph-based Photometric Stereo Network
Zhuokun Yao · Kun Li · Ying Fu · Haofeng Hu · Boxin Shi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #400
Convolutional Generation of Textured 3D Meshes
Dario Pavllo · Graham Spinks · Thomas Hofmann · Marie-Francine Moens · Aurelien Lucchi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #401
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
Zixuan Xu · Banghuai Li · Ye Yuan · Anhong Dang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #402
Neural Sparse Representation for Image Restoration
Yuchen Fan · Jiahui Yu · Yiqun Mei · Yulun Zhang · Yun Fu · Ding Liu · Thomas Huang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #403
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz · Yiyi Liao · Michael Niemeyer · Andreas Geiger
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #404
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
Qing Guo · Felix Juefei-Xu · Xiaofei Xie · Lei Ma · Jian Wang · Bing Yu · Wei Feng · Yang Liu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #405
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
Nicolai Hani · Selim Engin · Jun-Jee Chao · Volkan Isler
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #406
Learning Semantic-aware Normalization for Generative Adversarial Networks
Heliang Zheng · Jianlong Fu · Yanhong Zeng · Jiebo Luo · Zheng-Jun Zha
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #407
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
Benjamin Biggs · David Novotny · Sebastien Ehrhardt · Hanbyul Joo · Ben Graham · Andrea Vedaldi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #408
Learning to Detect Objects with a 1 Megapixel Event Camera
Etienne Perot · Pierre de Tournemire · Davide Nitti · Jonathan Masci · Amos Sironi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #409
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
Steffen Czolbe · Oswin Krause · Ingemar Cox · Christian Igel
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #410
GANSpace: Discovering Interpretable GAN Controls
Erik Härkönen · Aaron Hertzmann · Jaakko Lehtinen · Sylvain Paris
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #411
Deep Energy-based Modeling of Discrete-Time Physics
Takashi Matsubara · Ai Ishikawa · Takaharu Yaguchi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #412
SLIP: Learning to predict in unknown dynamical systems with long-term memory
Paria Rashidinejad · Jiantao Jiao · Stuart Russell
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #413
Weak Form Generalized Hamiltonian Learning
Kevin Course · Trefor Evans · Prasanth Nair
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #414
Disentangling by Subspace Diffusion
David Pfau · Irina Higgins · Alex Botev · Sébastien Racanière
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #415
Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu · Mark Davenport
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #416
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Umut Simsekli · Ozan Sener · George Deligiannidis · Murat Erdogdu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #417
Hold me tight! Influence of discriminative features on deep network boundaries
Guillermo Ortiz-Jimenez · Apostolos Modas · Seyed-Mohsen Moosavi-Dezfooli · Pascal Frossard
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #418
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #419
Sparse Graphical Memory for Robust Planning
Scott Emmons · Ajay Jain · Misha Laskin · Thanard Kurutach · Pieter Abbeel · Deepak Pathak
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #420
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu · Wenhao Ding · Jiacheng Zhu · ZUXIN LIU · Baiming Chen · Ding Zhao
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #421
Bayesian Robust Optimization for Imitation Learning
Daniel Brown · Scott Niekum · Marek Petrik
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #422
Learning Parities with Neural Networks
Amit Daniely · Eran Malach
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #423
Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi · Dylan Foster · Max Simchowitz · Dipendra Misra · Wen Sun · Akshay Krishnamurthy · Alexander Rakhlin · John Langford
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #424
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
Alexander Wei · Fred Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #425
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
Yuval Emek · Ron Lavi · Rad Niazadeh · Yangguang Shi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #426
On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni · Michael Jordan · Chi Jin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #427
Online Agnostic Boosting via Regret Minimization
Nataly Brukhim · Xinyi Chen · Elad Hazan · Shay Moran
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #428
Minimax Classification with 0-1 Loss and Performance Guarantees
Santiago Mazuelas · Andrea Zanoni · Aritz Pérez
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #429
Robust Density Estimation under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #430
Online Multitask Learning with Long-Term Memory
Mark Herbster · Stephen Pasteris · Lisa Tse
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #431
Improving Local Identifiability in Probabilistic Box Embeddings
Shib Dasgupta · Michael Boratko · Dongxu Zhang · Luke Vilnis · Xiang Li · Andrew McCallum
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #432
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen · Siva Theja Maguluri · Sanjay Shakkottai · Karthikeyan Shanmugam
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #433
Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #434
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
Ilias Diakonikolas · Daniel Kane · Nikos Zarifis
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #435
Statistical-Query Lower Bounds via Functional Gradients
Surbhi Goel · Aravind Gollakota · Adam Klivans
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #436
PAC-Bayes Learning Bounds for Sample-Dependent Priors
Pranjal Awasthi · Satyen Kale · Stefani Karp · Mehryar Mohri
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #437
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam · Jeffrey Negrea · Ashish Khisti · Daniel Roy · Gintare Karolina Dziugaite
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #438
Decision trees as partitioning machines to characterize their generalization properties
Jean-Samuel Leboeuf · Frédéric LeBlanc · Mario Marchand
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #439
A Limitation of the PAC-Bayes Framework
Roi Livni · Shay Moran
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #440
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
Hassan Hafez-Kolahi · Zeinab Golgooni · Shohreh Kasaei · Mahdieh Soleymani
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #441
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andres Masegosa · Stephan Lorenzen · Christian Igel · Yevgeny Seldin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #442
PAC-Bayes Analysis Beyond the Usual Bounds
Omar Rivasplata · Ilja Kuzborskij · Csaba Szepesvari · John Shawe-Taylor
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #443
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao · Ting Liu · Xi Peng · Dimitris Metaxas
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #444
Probabilistic Orientation Estimation with Matrix Fisher Distributions
David Mohlin · Josephine Sullivan · Gérald Bianchi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #445
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
KwanYong Park · Sanghyun Woo · Inkyu Shin · In So Kweon
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #446
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation
Jianfeng Zhang · Xuecheng Nie · Jiashi Feng
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #447
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
Jiangxin Dong · Stefan Roth · Bernt Schiele
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #448
Calibrating CNNs for Lifelong Learning
Pravendra Singh · Vinay Kumar Verma · Pratik Mazumder · Lawrence Carin · Piyush Rai
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #449
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang · Jianqiang Huang · Hanwang Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #450
Diverse Image Captioning with Context-Object Split Latent Spaces
Shweta Mahajan · Stefan Roth
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #451
An Analysis of SVD for Deep Rotation Estimation
Jake Levinson · Carlos Esteves · Kefan Chen · Noah Snavely · Angjoo Kanazawa · Afshin Rostamizadeh · Ameesh Makadia
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #452
DISK: Learning local features with policy gradient
Michał Tyszkiewicz · Pascal Fua · Eduard Trulls
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #453
Wasserstein Distances for Stereo Disparity Estimation
Divyansh Garg · Yan Wang · Bharath Hariharan · Mark Campbell · Kilian Weinberger · Wei-Lun Chao
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #454
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong · Martin Danelljan · Luc V Gool · Radu Timofte
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #455
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney · Ehsan Abbasnejad · Kushal Kafle · Robik Shrestha · Christopher Kanan · Anton van den Hengel
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #456
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
Ze Wang · Xiuyuan Cheng · Guillermo Sapiro · Qiang Qiu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #457
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Ren Jiawei · Cunjun Yu · shunan sheng · Xiao Ma · Haiyu Zhao · Shuai Yi · hongsheng Li
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #458
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina · Boris Ivanovic · Ransalu Senanayake · Mykel J Kochenderfer · Marco Pavone
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #459
Sparse Symplectically Integrated Neural Networks
Daniel DiPietro · Shiying Xiong · Bo Zhu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #460
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #461
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
Quynh Nguyen · Marco Mondelli
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #462
Towards Understanding Hierarchical Learning: Benefits of Neural Representations
Minshuo Chen · Yu Bai · Jason Lee · Tuo Zhao · Huan Wang · Caiming Xiong · Richard Socher
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #463
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
Lingkai Kong · Molei Tao
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #464
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes
Hao Chen · Lili Zheng · Raed AL Kontar · Garvesh Raskutti
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #465
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets
Avetik Karagulyan · Arnak Dalalyan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #466
Universal guarantees for decision tree induction via a higher-order splitting criterion
Guy Blanc · Neha Gupta · Jane Lange · Li-Yang Tan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #467
Learning Restricted Boltzmann Machines with Sparse Latent Variables
Guy Bresler · Rares-Darius Buhai
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #468
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
Ron Kupfer · Sharon Qian · Eric Balkanski · Yaron Singer
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #469
Hedging in games: Faster convergence of external and swap regrets
Xi Chen · Binghui Peng
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #470
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola · Paul Hand · Vlad Voroninski
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #471
In search of robust measures of generalization
Gintare Karolina Dziugaite · Alexandre Drouin · Brady Neal · Nitarshan Rajkumar · Ethan Caballero · Linbo Wang · Ioannis Mitliagkas · Daniel Roy
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #472
On Convergence and Generalization of Dropout Training
Poorya Mianjy · Raman Arora
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #473
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
Francesca Mignacco · Florent Krzakala · Pierfrancesco Urbani · Lenka Zdeborová
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #474
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Pierfrancesco Urbani · Lenka Zdeborová
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #475
Correspondence learning via linearly-invariant embedding
Riccardo Marin · Marie-Julie Rakotosaona · Simone Melzi · Maks Ovsjanikov
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #476
PIE-NET: Parametric Inference of Point Cloud Edges
Xiaogang Wang · Yuelang Xu · Kai Xu · Andrea Tagliasacchi · Bin Zhou · Ali Mahdavi-Amiri · Hao Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #477
Neural Non-Rigid Tracking
Aljaz Bozic · Pablo Palafox · Michael Zollhöfer · Angela Dai · Justus Thies · Matthias Niessner
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #478
Continuous Surface Embeddings
Natalia Neverova · David Novotny · Marc Szafraniec · Vasil Khalidov · Patrick Labatut · Andrea Vedaldi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #479
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti · Federico Stella · Marlon Marcon · Luciano Silva · Samuele Salti · Luigi Di Stefano
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #480
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Chen-Hsuan Lin · Chaoyang Wang · Simon Lucey
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #481
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane · Mohamad Aymen mir · Gerard Pons-Moll
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #482
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Yinyu Nie · Yiqun Lin · Xiaoguang Han · Shihui Guo · Jian Chang · Shuguang Cui · Jian.J Zhang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #483
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
SEOHYUN KIM · JaeYoo Park · Bohyung Han
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #484
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger · Aysim Toker · Laura Leal-Taixé · Daniel Cremers
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #485
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
Xiangru Huang · Haitao Yang · Etienne Vouga · Qixing Huang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #486
3D Shape Reconstruction from Vision and Touch
Edward Smith · Roberto Calandra · Adriana Romero · Georgia Gkioxari · David Meger · Jitendra Malik · Michal Drozdzal
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #487
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
David Novotny · Roman Shapovalov · Andrea Vedaldi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #488
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv · Yoni Kasten · Dror Moran · Meirav Galun · Matan Atzmon · Basri Ronen · Yaron Lipman
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #489
Neural Sparse Voxel Fields
Lingjie Liu · Jiatao Gu · Kyaw Zaw Lin · Tat-Seng Chua · Christian Theobalt
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #490
RepPoints v2: Verification Meets Regression for Object Detection
Yihong Chen · Zheng Zhang · Yue Cao · Liwei Wang · Stephen Lin · Han Hu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #491
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi · Chicheng Zhang · Rajan Chari · Akshay Krishnamurthy · John Langford · Aleksandrs Slivkins
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #492
Collapsing Bandits and Their Application to Public Health Intervention
Aditya Mate · Jackson Killian · Haifeng Xu · Andrew Perrault · Milind Tambe
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #493
Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #494
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin · Alexander Ulanov · Ekaterina Sazhina · Alexander Lvovsky
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #495
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting
Ziping Xu · Ambuj Tewari
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #496
Reinforcement Learning with Feedback Graphs
Christoph Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #497
A Unifying View of Optimism in Episodic Reinforcement Learning
Gergely Neu · Ciara Pike-Burke
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #498
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #499
On Reward-Free Reinforcement Learning with Linear Function Approximation
Ruosong Wang · Simon Du · Lin Yang · Russ Salakhutdinov
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #500
On Efficiency in Hierarchical Reinforcement Learning
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #501
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
Yi Tian · Jian Qian · Suvrit Sra
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #502
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi · Felix Berkenkamp · Andreas Krause
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #503
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information
Genevieve Flaspohler · Nicholas Roy · John W Fisher III
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #504
High-Throughput Synchronous Deep RL
Iou-Jen Liu · Raymond Yeh · Alexander Schwing
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #505
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy · Mohammadreza Nazari · Davood Hajinezhad · Jorge Silva
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #506
Provably adaptive reinforcement learning in metric spaces
Tongyi Cao · Akshay Krishnamurthy
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #507
Dynamic Submodular Maximization
Morteza Monemizadeh
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #508
Adaptive Shrinkage Estimation for Streaming Graphs
Nesreen K. Ahmed · Nick Duffield
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #509
Near-Optimal Comparison Based Clustering
Michaël Perrot · Pascal Esser · Debarghya Ghoshdastidar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #510
Impossibility Results for Grammar-Compressed Linear Algebra
Amir Abboud · Arturs Backurs · Karl Bringmann · Marvin Künnemann
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #511
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso
Jerome-Alexis Chevalier · Joseph Salmon · Alexandre Gramfort · Bertrand Thirion
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #512
Submodular Meta-Learning
Arman Adibi · Aryan Mokhtari · Hamed Hassani
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #513
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Marwa El Halabi · Slobodan Mitrović · Ashkan Norouzi-Fard · Jakab Tardos · Jakub Tarnawski
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #514
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Rebecca Reiffenhäuser
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #515
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom · Chris J. Maddison · Nicolas Heess · Tamir Hazan · Daniel Tarlow
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #516
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang · Jie Shen · Pranjal Awasthi
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #517
Learning Structured Distributions From Untrusted Batches: Faster and Simpler
Sitan Chen · Jerry Li · Ankur Moitra
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #518
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari · Moses Charikar · Kirankumar Shiragur · Aaron Sidford
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #519
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
Ilias Diakonikolas · Daniel M. Kane · Ankit Pensia
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #520
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin · Julien Perolat · Mathieu Lauriere · Matthieu Geist · Romuald Elie · Olivier Pietquin
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #521
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
Aranyak Mehta · Uri Nadav · Alexandros Psomas · Aviad Rubinstein
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #522
PAC-Bayesian Bound for the Conditional Value at Risk
Zakaria Mhammedi · Benjamin Guedj · Robert Williamson
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #523
Universal Function Approximation on Graphs
Rickard Gabrielsson
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #524
Model Class Reliance for Random Forests
Gavin Smith · Roberto Mansilla · James Goulding
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #525
Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli · Stefano Massaroli · Atsushi Yamashita · Hajime Asama · Jinkyoo Park
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #526
Almost Surely Stable Deep Dynamics
Nathan Lawrence · Philip Loewen · Michael Forbes · Johan Backstrom · Bhushan Gopaluni
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #527
Learning Optimal Representations with the Decodable Information Bottleneck
Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #528
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
Sirisha Rambhatla · Xingguo Li · Jarvis Haupt
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #529
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier · Koustuv Sinha · Siva Reddy · Chris Pal
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #530
Online Decision Based Visual Tracking via Reinforcement Learning
ke Song · Wei Zhang · Ran Song · Yibin Li
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #531
On the Modularity of Hypernetworks
Tomer Galanti · Lior Wolf
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #532
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
Bita Darvish Rouhani · Daniel Lo · Ritchie Zhao · Ming Liu · Jeremy Fowers · Kalin Ovtcharov · Anna Vinogradsky · Sarah Massengill · Lita Yang · Ray Bittner · Alessandro Forin · Haishan Zhu · Taesik Na · Prerak Patel · Shuai Che · Lok Chand Koppaka · XIA SONG · Subhojit Som · Kaustav Das · Saurabh K T · Steve Reinhardt · Sitaram Lanka · Eric Chung · Doug Burger
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #533
Counterexample-Guided Learning of Monotonic Neural Networks
Aishwarya Sivaraman · Golnoosh Farnadi · Todd Millstein · Guy Van den Broeck
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #534
Permute-and-Flip: A new mechanism for differentially private selection
Ryan McKenna · Daniel Sheldon
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #535
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Andrea Celli · Alberto Marchesi · Gabriele Farina · Nicola Gatti
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #536
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray · Botond Szabo · Gabriel Clara
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #537
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
Gaojie Jin · Xinping Yi · Liang Zhang · Lijun Zhang · Sven Schewe · Xiaowei Huang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #538
Learning discrete distributions with infinite support
Doron Cohen · Aryeh Kontorovich · Geoffrey Wolfer
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #539
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
Hongseok Namkoong · Ramtin Keramati · Steve Yadlowsky · Emma Brunskill
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #540
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs
Nevena Lazic · Dong Yin · Mehrdad Farajtabar · Nir Levine · Dilan Gorur · Chris Harris · Dale Schuurmans
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #541
Instance-based Generalization in Reinforcement Learning
Martin Bertran · Natalia L Martinez · Mariano Phielipp · Guillermo Sapiro
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #542
Efficient Planning in Large MDPs with Weak Linear Function Approximation
Roshan Shariff · Csaba Szepesvari
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #543
Multi-agent active perception with prediction rewards
Mikko Lauri · Frans Oliehoek
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #544
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
Michael Janner · Igor Mordatch · Sergey Levine
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #545
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm Van Seijen · Hadi Nekoei · Evan Racah · Sarath Chandar
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #546
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
Aaron Sonabend · Junwei Lu · Leo Anthony Celi · Tianxi Cai · Peter Szolovits
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #547
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen · Han Zhao · Weinan Zhang · Yong Yu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #548
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure · Remi Tachet des Combes · Thang Long DOAN · Philip Bachman · R Devon Hjelm
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #549
Zap Q-Learning With Nonlinear Function Approximation
Shuhang Chen · Adithya M Devraj · Fan Lu · Ana Busic · Sean Meyn
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #550
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol · Daniel E Worrall · Herke van Hoof · Frans Oliehoek · Max Welling
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #551
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee · Anusha Nagabandi · Pieter Abbeel · Sergey Levine
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #552
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal · Sham Kakade · Akshay Krishnamurthy · Wen Sun
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #553
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
Chi Jin · Sham Kakade · Akshay Krishnamurthy · Qinghua Liu
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #554
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder · Vu Nguyen · Stephen J Roberts
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #555
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac · Adria Recasens · Rosalia Schneider · Relja Arandjelović · Jason Ramapuram · Jeffrey De Fauw · Lucas Smaira · Sander Dieleman · Andrew Zisserman
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #556
Deep Subspace Clustering with Data Augmentation
Mahdi Abavisani · Alireza Naghizadeh · Dimitris Metaxas · Vishal Patel
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #557
Learning Retrospective Knowledge with Reverse Reinforcement Learning
Shangtong Zhang · Vivek Veeriah · Shimon Whiteson
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #558
The MAGICAL Benchmark for Robust Imitation
Sam Toyer · Rohin Shah · Andrew Critch · Stuart Russell
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #559
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Devavrat Shah · Dogyoon Song · Zhi Xu · Yuzhe Yang
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #560
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis · Elliot Creager · Animesh Garg
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #561
POMDPs in Continuous Time and Discrete Spaces
Bastian Alt · Matthias Schultheis · Heinz Koeppl
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #562
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch · Oleh Rybkin · Frederik Ebert · Shenghao Zhou · Dinesh Jayaraman · Chelsea Finn · Sergey Levine
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #563
Forethought and Hindsight in Credit Assignment
Veronica Chelu · Doina Precup · Hado van Hasselt
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #564
Learning Multi-Agent Communication through Structured Attentive Reasoning
Murtaza Rangwala · Ryan K Williams
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #565
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
Saim Wani · Shivansh Patel · Unnat Jain · Angel Chang · Manolis Savva
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #566
Influence-Augmented Online Planning for Complex Environments
Jinke He · Miguel Suau de Castro · Frans Oliehoek
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #567
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
Pinar Ozisik · Philip Thomas
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #568
Provably Efficient Neural GTD for Off-Policy Learning
Hoi-To Wai · Zhuoran Yang · Zhaoran Wang · Mingyi Hong
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #569
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto · David Meger · Doina Precup