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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #100
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
Steffen Schotthöfer · Tianbai Xiao · Martin Frank · Cory Hauck
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #102
Composing Partial Differential Equations with Physics-Aware Neural Networks
Matthias Karlbauer · Timothy Praditia · Sebastian Otte · Sergey Oladyshkin · Wolfgang Nowak · Martin V Butz
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #104
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
Uri Alon · Frank Xu · Junxian He · Sudipta Sengupta · Dan Roth · Graham Neubig
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #106
Towards Coherent and Consistent Use of Entities in Narrative Generation
Pinelopi Papalampidi · Kris Cao · Tomas Kocisky
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #110
Optimally Controllable Perceptual Lossy Compression
Zeyu Yan · Fei Wen · Peilin Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #112
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
QINGQING ZHAO · David B. Lindell · Gordon Wetzstein
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #114
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
Yupu Lu · Shijie Lin · Guanqi Chen · Jia Pan
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #116
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Mingrui Zhang · Jianhong Wang · James Tlhomole · Matthew Piggott
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #118
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuel Brenner · Florian Hess · Jonas M Mikhaeil · Leonard Bereska · Zahra Monfared · Po-Chen Kuo · Daniel Durstewitz
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #120
An Intriguing Property of Geophysics Inversion
Yinan Feng · Yinpeng Chen · Shihang Feng · Peng Jin · Zicheng Liu · Youzuo Lin
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #122
Particle Transformer for Jet Tagging
Huilin Qu · Congqiao Li · Sitian Qian
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #124
BabelTower: Learning to Auto-parallelized Program Translation
Yuanbo Wen · Qi Guo · Qiang Fu · XiaQing Li · jianxing xu · Yanlin Tang · Yongwei Zhao · Xing Hu · Zidong Du · Ling Li · Chao Wang · Xuehai Zhou · Yunji Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #126
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
Kaizhi Qian · Yang Zhang · Heting Gao · Junrui Ni · Cheng-I Lai · David Cox · Mark Hasegawa-Johnson · Shiyu Chang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #128
On Distribution Shift in Learning-based Bug Detectors
Jingxuan He · Luca Beurer-Kellner · Martin Vechev
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #133
A Context-Integrated Transformer-Based Neural Network for Auction Design
Zhijian Duan · Jingwu Tang · Yutong Yin · Zhe Feng · Xiang Yan · Manzil Zaheer · Xiaotie Deng
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #131
Domain Adaptation for Time Series Forecasting via Attention Sharing
Xiaoyong Jin · Youngsuk Park · Danielle Robinson · Hao Wang · Yuyang Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #129
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
Nabeel Seedat · Fergus Imrie · Alexis Bellot · Zhaozhi Qian · Mihaela van der Schaar
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #127
Disentangling Disease-related Representation from Obscure for Disease Prediction
Chu-ran Wang · Fei Gao · Fandong Zhang · Fangwei Zhong · Yizhou Yu · Yizhou Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #125
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco · Xinyang Geng · Aviral Kumar · Sergey Levine
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #123
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour · Satoshi Kataoka · Byron David · Daniel Freeman · Shixiang Gu · Igor Mordatch
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #121
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
Henrique Aguiar · Mauro Santos · Peter Watkinson · Tingting Zhu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #119
Do Differentiable Simulators Give Better Policy Gradients?
Hyung Ju Suh · Max Simchowitz · Kaiqing Zhang · Russ Tedrake
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #117
Adaptive Conformal Predictions for Time Series
Margaux Zaffran · Olivier FERON · Yannig Goude · julie Josse · Aymeric Dieuleveut
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #115
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #113
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang · Jiajin Li · Ziqi Gao · Jia Li
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #111
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
Elvis Nava · John Zhang · Mike Yan Michelis · Tao Du · Pingchuan Ma · Benjamin F. Grewe · Wojciech Matusik · Robert Katzschmann
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #109
Proving Theorems using Incremental Learning and Hindsight Experience Replay
Eser Aygün · Ankit Anand · Laurent Orseau · Xavier Glorot · Stephen McAleer · Vlad Firoiu · Lei Zhang · Doina Precup · Shibl Mourad
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #107
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Aviv Netanyahu · Tianmin Shu · Josh Tenenbaum · Pulkit Agrawal
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #105
Neural Inverse Kinematic
Raphael Bensadoun · Shir Gur · Nitsan Blau · Lior Wolf
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #208
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Nan Du · Yanping Huang · Andrew Dai · Simon Tong · Dmitry Lepikhin · Yuanzhong Xu · Maxim Krikun · Yanqi Zhou · Adams Wei Yu · Orhan Firat · Barret Zoph · William Fedus · Maarten Bosma · Zongwei Zhou · Tao Wang · Emma Wang · Kellie Webster · Marie Pellat · Kevin Robinson · Kathleen Meier-Hellstern · Toju Duke · Lucas Dixon · Kun Zhang · Quoc Le · Yonghui Wu · Zhifeng Chen · Claire Cui
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #210
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Mohammad Mahmudul Alam · Edward Raff · Tim Oates · James Holt
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #212
Object Permanence Emerges in a Random Walk along Memory
Pavel Tokmakov · Allan Jabri · Jie Li · Adrien Gaidon
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #214
Flow-Guided Sparse Transformer for Video Deblurring
Jing Lin · Yuanhao Cai · Xiaowan Hu · Haoqian Wang · Youliang Yan · Xueyi Zou · Henghui Ding · Yulun Zhang · Radu Timofte · Luc Van Gool
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #216
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Qingyang Tan · Zherong Pan · Breannan Smith · Takaaki Shiratori · Dinesh Manocha
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #218
Staged Training for Transformer Language Models
Sheng Shen · Pete Walsh · Kurt Keutzer · Jesse Dodge · Matthew Peters · Iz Beltagy
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #220
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Martin Genzel · Ingo Gühring · Jan Macdonald · Maximilian März
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #222
Self-supervised learning with random-projection quantizer for speech recognition
Chung-Cheng Chiu · James Qin · Yu Zhang · Jiahui Yu · Yonghui Wu
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #224
Learning Multiscale Transformer Models for Sequence Generation
Bei Li · Tong Zheng · yi jing · Chengbo Jiao · Tong Xiao · Jingbo Zhu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #226
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang · Thomas Lukasiewicz · Daniela Massiceti · Xiaolin Hu · Vladimir Pavlovic · Alexandros Neophytou
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #228
Revisiting End-to-End Speech-to-Text Translation From Scratch
Biao Zhang · Barry Haddow · Rico Sennrich
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #230
Data Scaling Laws in NMT: The Effect of Noise and Architecture
Yamini Bansal · Behrooz Ghorbani · Ankush Garg · Biao Zhang · Colin Cherry · Behnam Neyshabur · Orhan Firat
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #232
Dialog Inpainting: Turning Documents into Dialogs
Zhuyun Dai · Arun Tejasvi Chaganty · Vincent Zhao · Aida Amini · Qazi Mamunur Rashid · Mike Green · Kelvin Guu
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #234
Does the Data Induce Capacity Control in Deep Learning?
Rubing Yang · Jialin Mao · Pratik Chaudhari
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #236
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Chuan Wen · Jianing Qian · Jierui Lin · Jiaye Teng · Dinesh Jayaraman · Yang Gao
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #237
Memory-Based Model Editing at Scale
Eric Mitchell · Charles Lin · Antoine Bosselut · Christopher Manning · Chelsea Finn
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #235
Winning the Lottery Ahead of Time: Efficient Early Network Pruning
John Rachwan · Daniel Zügner · Bertrand Charpentier · Simon Geisler · Morgane Ayle · Stephan Günnemann
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #233
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen · Avihu Dekel · Daphna Weinshall
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #229
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na · Jisoo Mok · Seongsik Park · Dongjin Lee · Hyeokjun Choe · Sungroh Yoon
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #227
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel · Marios Fournarakis · Yelysei Bondarenko · Tijmen Blankevoort
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #225
Dataset Condensation via Efficient Synthetic-Data Parameterization
Jang-Hyun Kim · Jinuk Kim · Seong Joon Oh · Sangdoo Yun · Hwanjun Song · Joonhyun Jeong · Jung-Woo Ha · Hyun Oh Song
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #223
Searching for BurgerFormer with Micro-Meso-Macro Space Design
Longxing Yang · Yu Hu · Shun Lu · Zihao Sun · Jilin Mei · Yinhe Han · Xiaowei Li
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #221
Multi-scale Feature Learning Dynamics: Insights for Double Descent
Mohammad Pezeshki · Amartya Mitra · Yoshua Bengio · Guillaume Lajoie
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #219
Dataset Condensation with Contrastive Signals
Saehyung Lee · SANGHYUK CHUN · Sangwon Jung · Sangdoo Yun · Sungroh Yoon
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #217
Equivariant Priors for compressed sensing with unknown orientation
Anna Kuzina · Kumar Pratik · Fabio Valerio Massoli · Arash Behboodi
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #215
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Zhun Yang · Joohyung Lee · Chiyoun Park
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #213
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
Sören Mindermann · Jan Brauner · Muhammed Razzak · Mrinank Sharma · Andreas Kirsch · Winnie Xu · Benedikt Höltgen · Aidan Gomez · Adrien Morisot · Sebastian Farquhar · Yarin Gal
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #211
A Neural Tangent Kernel Perspective of GANs
Jean-Yves Franceschi · Emmanuel de Bézenac · Ibrahim Ayed · Mickael Chen · Sylvain Lamprier · Patrick Gallinari
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #209
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang · Ashish Shrivastava · Hema Koppula · Xiaoshuai Zhang · Oncel Tuzel
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #207
Neural Inverse Transform Sampler
Henry Li · Yuval Kluger
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #205
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
Wengong Jin · Regina Barzilay · Tommi Jaakkola
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #203
Diffusion Models for Adversarial Purification
Weili Nie · Brandon Guo · Yujia Huang · Chaowei Xiao · Arash Vahdat · Animashree Anandkumar
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #201
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai · Shufeng Kong · Carla Gomes
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #300
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
Tathagat Verma · Abir De · Yateesh Agrawal · Vishwa Vinay · Soumen Chakrabarti
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #302
It’s Raw! Audio Generation with State-Space Models
Karan Goel · Albert Gu · Chris Donahue · Christopher Re
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #304
Unsupervised Image Representation Learning with Deep Latent Particles
Tal Daniel · Aviv Tamar
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #306
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
Weiming Zhi · Tin Lai · Lionel Ott · Edwin V Bonilla · Fabio Ramos
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #308
Neuro-Symbolic Hierarchical Rule Induction
Claire Glanois · Zhaohui Jiang · Xuening Feng · Paul Weng · Matthieu Zimmer · Dong Li · Wulong Liu · Jianye Hao
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #310
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne · Andrew Jaegle · Cătălina Cangea · Sebastian Borgeaud · Charlie Nash · Mateusz Malinowski · Sander Dieleman · Oriol Vinyals · Matthew Botvinick · Ian Simon · Hannah Sheahan · Neil Zeghidour · Jean-Baptiste Alayrac · Joao Carreira · Jesse Engel
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #312
Marginal Tail-Adaptive Normalizing Flows
Mike Laszkiewicz · Johannes Lederer · Asja Fischer
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #314
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
Xiang Xu · Karl Willis · Joseph G Lambourne · Chin-Yi Cheng · Pradeep Kumar Jayaraman · Yasutaka Furukawa
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #316
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
Shanyan Guan · Huayu Deng · Yunbo Wang · Xiaokang Yang
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #318
Equivariance versus Augmentation for Spherical Images
Jan Gerken · Oscar Carlsson · Hampus Linander · Fredrik Ohlsson · Christoffer Petersson · Daniel Persson
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #320
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training
Charbel Sakr · Steve Dai · Rangha Venkatesan · Brian Zimmer · William Dally · Brucek Khailany
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #322
Neural Network Poisson Models for Behavioural and Neural Spike Train Data
Moein Khajehnejad · Forough Habibollahi · Richard Nock · Ehsan Arabzadeh · Peter Dayan · Amir Dezfouli
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #324
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks
Huan Zhang · Shiqi Wang · Kaidi Xu · Yihan Wang · Suman Jana · Cho-Jui Hsieh · Zico Kolter
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #326
GACT: Activation Compressed Training for Generic Network Architectures
Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #328
Fast Finite Width Neural Tangent Kernel
Roman Novak · Jascha Sohl-Dickstein · Samuel Schoenholz
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #330
G-Mixup: Graph Data Augmentation for Graph Classification
Xiaotian Han · Zhimeng Jiang · Ninghao Liu · Xia Hu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #332
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
· Tommaso Salvatori · Yuhang Song · Thomas Lukasiewicz · Rafal Bogacz
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #334
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Yan Zeng · Xinsong Zhang · Hang Li
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #336
Continual Learning with Guarantees via Weight Interval Constraints
Maciej Wołczyk · Karol J. Piczak · Bartosz Wójcik · Łukasz Pustelnik · Paweł Morawiecki · Jacek Tabor · Tomasz Trzcinski · Przemysław Spurek
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #338
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Namuk Park · Songkuk Kim
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #337
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
Julian Bitterwolf · Alexander Meinke · Maximilian Augustin · Matthias Hein
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #335
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Hidetaka Kamigaito · Katsuhiko Hayashi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #333
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
Tianlong Chen · Huan Zhang · Zhenyu Zhang · Shiyu Chang · Sijia Liu · Pin-Yu Chen · Zhangyang “Atlas” Wang
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #331
Adversarial Masking for Self-Supervised Learning
Yuge Shi · Siddharth N · Phil Torr · Adam Kosiorek
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #329
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan · Yuexin Wu · Zi-Hao Qiu · Xianzhi Du · Lijun Zhang · Denny Zhou · Tianbao Yang
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #327
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang · An Yang · Rui Men · Junyang Lin · Shuai Bai · Zhikang Li · Jianxin Ma · Chang Zhou · Jingren Zhou · Hongxia Yang
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #325
Multirate Training of Neural Networks
Tiffany Vlaar · Benedict Leimkuhler
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #323
Variational Wasserstein gradient flow
Jiaojiao Fan · Qinsheng Zhang · Amirhossein Taghvaei · Yongxin Chen
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #321
Building Robust Ensembles via Margin Boosting
Dinghuai Zhang · Hongyang Zhang · Aaron Courville · Yoshua Bengio · Pradeep Ravikumar · Arun Sai Suggala
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #319
Investigating Generalization by Controlling Normalized Margin
Alexander Farhang · Jeremy Bernstein · Kushal Tirumala · Yang Liu · Yisong Yue
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Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #317
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Kendrick Shen · Robbie Jones · Ananya Kumar · Sang Michael Xie · Jeff Z. HaoChen · Tengyu Ma · Percy Liang
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #315
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
Wangchunshu Zhou · Yan Zeng · shizhe diao · Xinsong Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #313
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Sihang Li · Xiang Wang · An Zhang · Ying-Xin Wu · Xiangnan He · Tat-Seng Chua
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #311
Graph Neural Architecture Search Under Distribution Shifts
Yijian Qin · Xin Wang · Ziwei Zhang · Pengtao Xie · Wenwu Zhu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #309
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang · Muhan Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #307
Constraint-based graph network simulator
Yulia Rubanova · Alvaro Sanchez-Gonzalez · Tobias Pfaff · Peter Battaglia
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #305
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs
Zehao Dong · Muhan Zhang · Fuhai Li · Yixin Chen
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #303
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen · Leslie O'Bray · Karsten Borgwardt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #301
Ripple Attention for Visual Perception with Sub-quadratic Complexity
Lin Zheng · Huijie Pan · Lingpeng Kong
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #400
Self-supervised Models are Good Teaching Assistants for Vision Transformers
Haiyan Wu · Yuting Gao · Yinqi Zhang · Shaohui Lin · Yuan Xie · Xing Sun · Ke Li
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #402
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Amin Ghiasi · Hamid Kazemi · Steven Reich · Chen Zhu · Micah Goldblum · Tom Goldstein
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #404
In defense of dual-encoders for neural ranking
Aditya Menon · Sadeep Jayasumana · Ankit Singh Rawat · Seungyeon Kim · Sashank Jakkam Reddi · Sanjiv Kumar
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Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #406
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
Krzysztof Choromanski · Han Lin · Haoxian Chen · Tianyi Zhang · Arijit Sehanobish · Valerii Likhosherstov · Jack Parker-Holder · Tamas Sarlos · Adrian Weller · Thomas Weingarten
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #408
Linear Complexity Randomized Self-attention Mechanism
Lin Zheng · Chong Wang · Lingpeng Kong
[ Slides
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #410
Efficient Representation Learning via Adaptive Context Pooling
Chen Huang · Walter Talbott · Navdeep Jaitly · Joshua M Susskind
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #412
Toward Compositional Generalization in Object-Oriented World Modeling
Linfeng Zhao · Lingzhi Kong · Robin Walters · Lawson Wong
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #414
Fast Population-Based Reinforcement Learning on a Single Machine
Arthur Flajolet · Claire Bizon Monroc · Karim Beguir · Thomas Pierrot
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #416
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Zhijie Deng · Jiaxin Shi · Jun Zhu
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #418
Visual Attention Emerges from Recurrent Sparse Reconstruction
Baifeng Shi · Yale Song · Neel Joshi · Trevor Darrell · Xin Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #420
Transformer Quality in Linear Time
Weizhe Hua · Zihang Dai · Hanxiao Liu · Quoc Le
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #422
What Dense Graph Do You Need for Self-Attention?
Yuxin Wang · Chu-Tak Lee · Qipeng Guo · Zhangyue Yin · yunhua zhou · Xuanjing Huang · Xipeng Qiu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #424
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images
Tom Ron · Tamir Hazan
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #426
Multi Resolution Analysis (MRA) for Approximate Self-Attention
Zhanpeng Zeng · Sourav Pal · Jeffery Kline · Glenn Fung · Vikas Singh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #428
Dynamic Topic Models for Temporal Document Networks
Delvin Zhang · Hady Lauw
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #432
A Functional Information Perspective on Model Interpretation
Itai Gat · Nitay Calderon · Roi Reichart · Tamir Hazan
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #434
Be Like Water: Adaptive Floating Point for Machine Learning
Thomas Y. Yeh · Maxwell Sterner · Zerlina Lai · Brandon Chuang · Alexander Ihler
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #436
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Johannes Brandstetter · Max Welling · Daniel Worrall
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #438
Bregman Neural Networks
Jordan Frecon · Gilles Gasso · Massimiliano Pontil · Saverio Salzo
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #439
Quantifying and Learning Linear Symmetry-Based Disentanglement
Loek Tonnaer · Luis Armando Perez Rey · Vlado Menkovski · Mike Holenderski · Jacobus Portegies
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #437
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
David Knigge · David Romero · Erik Bekkers
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #435
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Zhengyang Shen · Tao Hong · Qi She · Jinwen Ma · Zhouchen Lin
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #433
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #431
(Non-)Convergence Results for Predictive Coding Networks
Simon Frieder · Thomas Lukasiewicz
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #429
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
Serguei Barannikov · Ilya Trofimov · Nikita Balabin · Evgeny Burnaev
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #427
Measuring Representational Robustness of Neural Networks Through Shared Invariances
Vedant Nanda · Till Speicher · Camila Kolling · John P Dickerson · Krishna Gummadi · Adrian Weller
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #425
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
Kazuki Irie · Robert Cordas · Jürgen Schmidhuber
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #423
Flowformer: Linearizing Transformers with Conservation Flows
Haixu Wu · Jialong Wu · Jiehui Xu · Jianmin Wang · Mingsheng Long
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #421
Spatial-Channel Token Distillation for Vision MLPs
Yanxi Li · Xinghao Chen · Minjing Dong · Yehui Tang · Yunhe Wang · Chang Xu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #419
Neurocoder: General-Purpose Computation Using Stored Neural Programs
Hung Le · Svetha Venkatesh
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #417
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen · Tan Nguyen · Dung Le · Duy Khuong Nguyen · Viet-Anh Tran · Richard Baraniuk · Nhat Ho · Stanley Osher
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #415
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yibing Liu · Haoliang Li · Yangyang Guo · Chenqi KONG · Jing Li · Shiqi Wang
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #413
AGNAS: Attention-Guided Micro- and Macro-Architecture Search
Zihao Sun · Yu Hu · Shun Lu · Longxing Yang · Jilin Mei · Yinhe Han · Xiaowei Li
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #411
Convergence of Invariant Graph Networks
Chen Cai · Yusu Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #409
Rich Feature Construction for the Optimization-Generalization Dilemma
Jianyu Zhang · David Lopez-Paz · Léon Bottou
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #407
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao · Yanan Zheng · Xiaocong Yang · Zhilin Yang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #405
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems
Zhuangdi Zhu · Junyuan Hong · Steve Drew · Jiayu Zhou
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #403
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #401
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #500
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman · Gabriel Ilharco · Samir Gadre · Rebecca Roelofs · Raphael Gontijo Lopes · Ari Morcos · Hongseok Namkoong · Ali Farhadi · Yair Carmon · Simon Kornblith · Ludwig Schmidt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #502
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
Pranjal Awasthi · Nishanth Dikkala · Pritish Kamath
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #504
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li · Wenwen Qiang · Changwen Zheng · Bing Su · Hui Xiong
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #506
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
Yihao Xue · Kyle Whitecross · Baharan Mirzasoleiman
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #508
Contrastive Learning with Boosted Memorization
Zhihan Zhou · Jiangchao Yao · Yan-Feng Wang · Bo Han · Ya Zhang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #510
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning
Kaiwen Yang · Tianyi Zhou · Xinmei Tian · Dacheng Tao
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #512
Interventional Contrastive Learning with Meta Semantic Regularizer
Wenwen Qiang · Jiangmeng Li · Changwen Zheng · Bing Su · Hui Xiong
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #514
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao · Yoshihiro Nagano · Kento Nozawa
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #516
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
Bobby He · Mete Ozay
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #518
Locally Sparse Neural Networks for Tabular Biomedical Data
Junchen Yang · Ofir Lindenbaum · Yuval Kluger
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #520
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification
Jun-Yi Hang · Min-Ling Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #522
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu · Zihao Dong · Yang Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #524
Prototype-Anchored Learning for Learning with Imperfect Annotations
Xiong Zhou · Xianming Liu · Deming Zhai · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #526
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
Luc Brogat-Motte · Rémi Flamary · Celine Brouard · Juho Rousu · Florence d'Alché-Buc
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #528
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm
Huayi Tang · Yong Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #530
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
Shuo Yang · Erkun Yang · Bo Han · Yang Liu · Min Xu · Gang Niu · Tongliang Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #532
Invariant Ancestry Search
Phillip Bredahl Mogensen · Nikolaj Thams · Jonas Peters
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #534
Unaligned Supervision for Automatic Music Transcription in The Wild
Ben Maman · Amit Bermano
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #536
Fourier Learning with Cyclical Data
Yingxiang Yang · Zhihan Xiong · Tianyi Liu · Taiqing Wang · Chong Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #538
Linear Adversarial Concept Erasure
Shaul Ravfogel · Michael Twiton · Yoav Goldberg · Ryan Cotterell
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #539
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
Paul Rolland · Volkan Cevher · Matthäus Kleindessner · Chris Russell · Dominik Janzing · Bernhard Schölkopf · Francesco Locatello
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #537
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang · Haozhe Si · Bo Li · Han Zhao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #535
Subspace Learning for Effective Meta-Learning
Weisen JIANG · James Kwok · Yu Zhang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #533
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J Rudner · Freddie Bickford Smith · QIXUAN FENG · Yee-Whye Teh · Yarin Gal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #529
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu · Jiaxiang Wu · Yifan Zhang · Yaofo Chen · Shijian Zheng · Peilin Zhao · Mingkui Tan
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #527
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
Lu Bai · Lixin Cui · Edwin Hancock
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #525
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time
David Woodruff · Amir Zandieh
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #523
Random Gegenbauer Features for Scalable Kernel Methods
Insu Han · Amir Zandieh · Haim Avron
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #521
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen · Lingfei Wu · Siliang Tang · Xiao Yun · Bo Long · Yueting Zhuang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #519
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses
Alex Lambert · Dimitri Bouche · Zoltan Szabo · Florence d'Alché-Buc
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #517
Measuring dissimilarity with diffeomorphism invariance
Théophile Cantelobre · Carlo Ciliberto · Benjamin Guedj · Alessandro Rudi
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #515
Importance Weighted Kernel Bayes' Rule
Liyuan Xu · Yutian Chen · Arnaud Doucet · Arthur Gretton
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #513
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
Meyer Scetbon · Laurent Meunier · Yaniv Romano
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #511
Nyström Kernel Mean Embeddings
Antoine Chatalic · Nicolas Schreuder · Lorenzo Rosasco · Alessandro Rudi
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #509
Distribution Regression with Sliced Wasserstein Kernels
Dimitri Marie Meunier · Massimiliano Pontil · Carlo Ciliberto
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #507
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao · Shiyu Chang · Regina Barzilay
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #505
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Tianlong Chen · Zhenyu Zhang · Sijia Liu · Yang Zhang · Shiyu Chang · Zhangyang “Atlas” Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #503
Attentional Meta-learners for Few-shot Polythetic Classification
Ben Day · Ramon Viñas Torné · Nikola Simidjievski · Pietro Lió
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #501
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
Yuka Hashimoto · Zhao Wang · Tomoko Matsui
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #600
Nonlinear Feature Diffusion on Hypergraphs
Konstantin Prokopchik · Austin Benson · Francesco Tudisco
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #602
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
Junyoung Park · Changwon Yoon · Cheolwoo Park · Jeongyoun Ahn
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #604
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Haoqi Yuan · Zongqing Lu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #606
Fast Provably Robust Decision Trees and Boosting
Jun-Qi Guo · Ming-Zhuo Teng · Wei Gao · Zhi-Hua Zhou
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #608
Order Constraints in Optimal Transport
Yu Chin Fabian Lim · Laura Wynter · Shiau Hong Lim
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #610
Sublinear-Time Clustering Oracle for Signed Graphs
Stefan Neumann · Pan Peng
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #612
PAC-Bayesian Bounds on Rate-Efficient Classifiers
Alhabib Abbas · Yiannis Andreopoulos
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #614
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
Osman Asif Malik
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #616
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Momin Abbas · Quan Xiao · Lisha Chen · Pin-Yu Chen · Tianyi Chen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #618
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
Hongchang Gao · Junyi Li · Heng Huang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #620
SPDY: Accurate Pruning with Speedup Guarantees
Elias Frantar · Dan Alistarh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #622
Flashlight: Enabling Innovation in Tools for Machine Learning
Jacob Kahn · Vineel Pratap · Tatiana Likhomanenko · Qiantong Xu · Awni Hannun · Jeff Cai · Paden Tomasello · Ann Lee · Edouard Grave · Gilad Avidov · Benoit Steiner · Vitaliy Liptchinsky · Gabriel Synnaeve · Ronan Collobert
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #624
On the Robustness of CountSketch to Adaptive Inputs
Edith Cohen · Xin Lyu · Jelani Nelson · Tamas Sarlos · Moshe Shechner · Uri Stemmer
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #626
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning
Jiechao Guan · Zhiwu Lu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #628
Wide Neural Networks Forget Less Catastrophically
Seyed Iman Mirzadeh · Arslan Chaudhry · Dong Yin · Huiyi Hu · Razvan Pascanu · Dilan Gorur · Mehrdad Farajtabar
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #630
A Unified View on PAC-Bayes Bounds for Meta-Learning
Arezou Rezazadeh
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #632
MAML and ANIL Provably Learn Representations
Liam Collins · Aryan Mokhtari · Sewoong Oh · Sanjay Shakkottai
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #634
C-MinHash: Improving Minwise Hashing with Circulant Permutation
Xiaoyun Li · Ping Li
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #636
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #638
Safe Exploration for Efficient Policy Evaluation and Comparison
Runzhe Wan · Branislav Kveton · Rui Song
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #639
Adversarial Attacks on Gaussian Process Bandits
Eric Han · Jonathan Scarlett
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #637
GALAXY: Graph-based Active Learning at the Extreme
Jifan Zhang · Julian Katz-Samuels · Robert Nowak
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #635
When Are Linear Stochastic Bandits Attackable?
Huazheng Wang · Haifeng Xu · Hongning Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #633
UniRank: Unimodal Bandit Algorithms for Online Ranking
Camille-Sovanneary GAUTHIER · Romaric Gaudel · Elisa Fromont
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #631
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds
Nate Veldt
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #629
Interactive Correlation Clustering with Existential Cluster Constraints
Rico Angell · Nicholas Monath · Nishant Yadav · Andrew McCallum
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #627
Simultaneous Graph Signal Clustering and Graph Learning
Abdullah Karaaslanli · Selin Aviyente
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #625
Bregman Power k-Means for Clustering Exponential Family Data
Adithya D Vellal · Saptarshi Chakraborty · Jason Xu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #623
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
Xinrui Zu · Qian Tao
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #621
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
Geert-Jan Huizing · Laura Cantini · Gabriel Peyré
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #619
Understanding Doubly Stochastic Clustering
Tianjiao Ding · Derek Lim · Rene Vidal · Benjamin Haeffele
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #617
Faster Fundamental Graph Algorithms via Learned Predictions
Justin Chen · Sandeep Silwal · Ali Vakilian · Fred Zhang
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #615
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering
Lorenzo Orecchia · Konstantinos Ameranis · Charalampos Tsourakakis · Kunal Talwar
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #613
Fair and Fast k-Center Clustering for Data Summarization
Haris Angelidakis · Adam Kurpisz · Leon Sering · Rico Zenklusen
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #611
Online and Consistent Correlation Clustering
Vincent Cohen-Addad · Silvio Lattanzi · Andreas Maggiori · Nikos Parotsidis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #609
Generalized Leverage Scores: Geometric Interpretation and Applications
Bruno Ordozgoiti · Antonis Matakos · Aristides Gionis
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #607
Adapting k-means Algorithms for Outliers
Christoph Grunau · Vaclav Rozhon
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #605
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
Karan Chadha · Gary Cheng · John Duchi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #603
Online Algorithms with Multiple Predictions
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #601
Parsimonious Learning-Augmented Caching
Sungjin Im · Ravi Kumar · Aditya Petety · Manish Purohit
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #700
RUMs from Head-to-Head Contests
Matteo Almanza · Flavio Chierichetti · Ravi Kumar · Alessandro Panconesi · Andrew Tomkins
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #702
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Rahul Mazumder · Xiang Meng · Haoyue Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #704
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
Cedric Malherbe · Kevin Scaman
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #706
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints
Alina Ene · Huy Nguyen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #708
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
Zijian Liu · Ta Duy Nguyen · Alina Ene · Huy Nguyen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #710
Adaptive Second Order Coresets for Data-efficient Machine Learning
Omead Pooladzandi · David Davini · Baharan Mirzasoleiman
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #712
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
Trang Tran · Katya Scheinberg · Lam Nguyen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #714
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
Valentin Durante · George Katsirelos · Thomas Schiex
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #716
Deletion Robust Submodular Maximization over Matroids
PAUL DUETTING · Federico Fusco · Silvio Lattanzi · Ashkan Norouzi-Fard · Morteza Zadimoghaddam
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #718
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu · Thiago Serra · Srikumar Ramalingam · Shandian Zhe
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #720
Instance Dependent Regret Analysis of Kernelized Bandits
Shubhanshu Shekhar · Tara Javidi
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #722
Proximal and Federated Random Reshuffling
Konstantin Mishchenko · Ahmed Khaled · Peter Richtarik
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #724
Federated Learning with Partial Model Personalization
Krishna Pillutla · Kshitiz Malik · Abdel-rahman Mohamed · Michael Rabbat · Maziar Sanjabi · Lin Xiao
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #726
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #728
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang · Ying Sun · Zehan Zhu · Changzhi Yan · Jinming Xu
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #732
Iterative Double Sketching for Faster Least-Squares Optimization
Rui Wang · Yanyan Ouyang · Wangli Xu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #734
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
Max Paulus · Giulia Zarpellon · Andreas Krause · Laurent Charlin · Chris Maddison
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #736
A Regret Minimization Approach to Multi-Agent Control
Udaya Ghai · Udari Madhuhshani · Naomi Leonard · Elad Hazan
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #738
Multi-slots Online Matching with High Entropy
XINGYU LU · Qintong Wu · WENLIANG ZHONG
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #739
Decision-Focused Learning: Through the Lens of Learning to Rank
Jayanta Mandi · Víctor Bucarey · Maxime Mulamba Ke Tchomba · Tias Guns
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #737
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Pedro Soto · Ilia Ilmer · Haibin Guan · Jun Li
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #735
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
Timothy Castiglia · Anirban Das · Shiqiang Wang · Stacy Patterson
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #733
Least Squares Estimation using Sketched Data with Heteroskedastic Errors
Sokbae Lee · Serena Ng
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #731
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
Aram-Alexandre Pooladian · Marco Cuturi · Jonathan Niles-Weed
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #729
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
Tim Tsz-Kit Lau · Han Liu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #727
Active Nearest Neighbor Regression Through Delaunay Refinement
Alexander Kravberg · Giovanni Luca Marchetti · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #725
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
Adil Salim · Lukang Sun · Peter Richtarik
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #723
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Hui-Po Wang · Sebastian Stich · Yang He · Mario Fritz
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #721
Federated Learning with Label Distribution Skew via Logits Calibration
Jie Zhang · Zhiqi Li · Bo Li · Jianghe Xu · Shuang Wu · Shouhong Ding · Chao Wu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #719
Adaptive Random Walk Gradient Descent for Decentralized Optimization
Tao Sun · Dongsheng Li · Bao Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #717
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
Shishir G. Patil · Paras Jain · Prabal Dutta · Ion Stoica · Joseph E Gonzalez
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #715
Secure Distributed Training at Scale
Eduard Gorbunov · Alexander Borzunov · Michael Diskin · Max Ryabinin
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #713
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
Karl Bäckström · Marina Papatriantafilou · Philippas Tsigas
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #711
Anarchic Federated Learning
Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #709
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Zhenheng Tang · Yonggang Zhang · Shaohuai Shi · Xin He · Bo Han · Xiaowen Chu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #707
Global Optimization Networks
Sen Zhao · Erez Louidor · Maya Gupta
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #705
Generalized Federated Learning via Sharpness Aware Minimization
Zhe Qu · Xingyu Li · Rui Duan · Yao Liu · Bo Tang · Zhuo Lu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #703
Delay-Adaptive Step-sizes for Asynchronous Learning
Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #701
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
Fan Lai · Yinwei Dai · Sanjay Singapuram · Jiachen Liu · Xiangfeng Zhu · Harsha Madhyastha · Mosharaf Chowdhury
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #800
Learning Augmented Binary Search Trees
Honghao Lin · Tian Luo · David Woodruff
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #802
Communication-efficient Distributed Learning for Large Batch Optimization
Rui Liu · Barzan Mozafari
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #804
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
Giuseppe Bruno De Luca · Eva Silverstein
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #806
A Simple Guard for Learned Optimizers
Isabeau Prémont-Schwarz · Jaroslav Vítků · Jan Feyereisl
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #808
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
Jihwan Jeong · Parth Jaggi · Andrew Butler · Scott Sanner
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #810
Multi-Level Branched Regularization for Federated Learning
Jinkyu Kim · Geeho Kim · Bohyung Han
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #812
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications
Alexandre Capone · Armin Lederer · Sandra Hirche
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #814
Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh · Carlos Villacampa-Calvo · Daniel Hernandez-Lobato
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #816
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
Da Long · Zheng Wang · Aditi Krishnapriyan · Robert Kirby · Shandian Zhe · Michael Mahoney
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #818
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
Konstantinos Kalais · Sotirios Chatzis
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #820
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Zheng Wang · Shandian Zhe
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #822
Nonparametric Embeddings of Sparse High-Order Interaction Events
Zheng Wang · Yiming Xu · Conor Tillinghast · Shibo Li · Akil Narayan · Shandian Zhe
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #824
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
Javier Antorán · David Janz · James Allingham · Erik Daxberger · Riccardo Barbano · Eric Nalisnick · Jose Miguel Hernandez-Lobato
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #826
NOMU: Neural Optimization-based Model Uncertainty
Jakob Heiss · Jakob Weissteiner · Hanna Wutte · Sven Seuken · Josef Teichmann
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #828
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #830
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Giulio Franzese · Dimitrios Milios · Maurizio Filippone · Pietro Michiardi
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #832
Scaling Structured Inference with Randomization
Yao Fu · John Cunningham · Mirella Lapata
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #834
Discrete Tree Flows via Tree-Structured Permutations
Mai Elkady · Jim Lim · David I. Inouye
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #836
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
Volodymyr Kuleshov · Shachi Deshpande
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #838
The Importance of Non-Markovianity in Maximum State Entropy Exploration
Mirco Mutti · Riccardo De Santi · Marcello Restelli
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #837
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi · Léonard Hussenot · Damien Vincent · Sertan Girgin · Anton Raichuk · Matthieu Geist · Olivier Pietquin
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #835
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Minghuan Liu · Zhengbang Zhu · Yuzheng Zhuang · Weinan Zhang · Jianye Hao · Yong Yu · Jun Wang
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #833
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
Alihan Hüyük · Daniel Jarrett · Mihaela van der Schaar
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #829
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
Angelo Damiani · Giorgio Manganini · Alberto Maria Metelli · Marcello Restelli
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #827
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
Brian Ziebart · Sanjiban Choudhury · Xinyan Yan · Paul Vernaza
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #825
Causal Imitation Learning under Temporally Correlated Noise
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #823
Interactive Inverse Reinforcement Learning for Cooperative Games
Thomas Kleine Buening · Anne-Marie George · Christos Dimitrakakis
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #821
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
Weichao Zhou · Wenchao Li
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #819
Robust Imitation Learning against Variations in Environment Dynamics
Jongseong Chae · Seungyul Han · Whiyoung Jung · MYUNG-SIK CHO · Sungho Choi · Youngchul Sung
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #817
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
Haoran Xu · Xianyuan Zhan · Honglei Yin · Huiling qin
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #815
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
ZHIHAN LIU · Yufeng Zhang · Zuyue Fu · Zhuoran Yang · Zhaoran Wang
[ Slides
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #813
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi · Aravind Rajeswaran · Senthil Purushwalkam · Abhinav Gupta
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #811
COLA: Consistent Learning with Opponent-Learning Awareness
Timon Willi · Alistair Letcher · Johannes Treutlein · Jakob Foerster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #809
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #807
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen · Yonatan Bisk · Hal Daumé III
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #805
Learning Stochastic Shortest Path with Linear Function Approximation
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #803
Difference Advantage Estimation for Multi-Agent Policy Gradients
yueheng li · Guangming Xie · Zongqing Lu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #801
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
Ling Pan · Longbo Huang · Tengyu Ma · Huazhe Xu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #900
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
Han Zhong · Wei Xiong · Jiyuan Tan · Liwei Wang · Tong Zhang · Zhaoran Wang · Zhuoran Yang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #902
Learning Bellman Complete Representations for Offline Policy Evaluation
Jonathan Chang · Kaiwen Wang · Nathan Kallus · Wen Sun
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #904
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
Nathan Kallus · Xiaojie Mao · Kaiwen Wang · Zhengyuan Zhou
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #906
A Simple Reward-free Approach to Constrained Reinforcement Learning
Sobhan Miryoosefi · Chi Jin
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #908
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
Jason Yecheng Ma · Andrew Shen · Dinesh Jayaraman · Osbert Bastani
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #910
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen · Hao Su · Xiaolong Wang
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #912
Model Selection in Batch Policy Optimization
Jonathan Lee · George Tucker · Ofir Nachum · Bo Dai
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #914
Adversarially Trained Actor Critic for Offline Reinforcement Learning
Ching-An Cheng · Tengyang Xie · Nan Jiang · Alekh Agarwal
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #916
Optimal Estimation of Policy Gradient via Double Fitted Iteration
Chengzhuo Ni · Ruiqi Zhang · Xiang Ji · Xuezhou Zhang · Mengdi Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #918
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
Hongyi Guo · Qi Cai · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #920
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
Ruiqi Zhang · Xuezhou Zhang · Chengzhuo Ni · Mengdi Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #922
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
Huang Bojun
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #924
On the Role of Discount Factor in Offline Reinforcement Learning
Hao Hu · yiqin yang · Qianchuan Zhao · Chongjie Zhang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #926
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #928
Tell me why! Explanations support learning relational and causal structure
Andrew Lampinen · Nicholas Roy · Ishita Dasgupta · Stephanie Chan · Allison Tam · James McClelland · Chen Yan · Adam Santoro · Neil Rabinowitz · Jane Wang · Feilx Hill
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #930
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Matthias Weissenbacher · Samrath Sinha · Animesh Garg · Yoshinobu Kawahara
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #932
Generalised Policy Improvement with Geometric Policy Composition
Shantanu Thakoor · Mark Rowland · Diana Borsa · Will Dabney · Remi Munos · Andre Barreto
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #934
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #936
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su · Zongqing Lu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #929
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
Shuang Wu · Ling Shi · Jun Wang · Guangjian Tian
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #927
Off-Policy Reinforcement Learning with Delayed Rewards
Beining Han · Zhizhou Ren · Zuofan Wu · Yuan Zhou · Jian Peng
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #923
Direct Behavior Specification via Constrained Reinforcement Learning
Julien Roy · Roger Girgis · Joshua Romoff · Pierre-Luc Bacon · Christopher Pal
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #921
Large Batch Experience Replay
Thibault Lahire · Matthieu Geist · Emmanuel Rachelson
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #919
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder · Minqi Jiang · Michael Dennis · Mikayel Samvelyan · Jakob Foerster · Edward Grefenstette · Tim Rocktäschel
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #915
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Junlin Wu · Yevgeniy Vorobeychik
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #913
Transformers are Meta-Reinforcement Learners
Luckeciano Melo
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #911
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Litian Liang · Yaosheng Xu · Stephen Mcaleer · Dailin Hu · Alexander Ihler · Pieter Abbeel · Roy Fox
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #909
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu · Zhepeng Cen · Vladislav Isenbaev · Wei Liu · Steven Wu · Bo Li · Ding Zhao
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #907
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
Amrit Singh Bedi · Souradip Chakraborty · Anjaly Parayil · Brian Sadler · Pratap Tokekar · Alec Koppel
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #905
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu · Xingdi Yuan · Marc-Alexandre Côté · Pierre-Yves Oudeyer · Alex Schwing
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #903
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Adam Villaflor · Zhe Huang · Swapnil Pande · John Dolan · Jeff Schneider
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1002
An Analytical Update Rule for General Policy Optimization
Hepeng Li · Nicholas Clavette · Haibo He
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1004
Making Linear MDPs Practical via Contrastive Representation Learning
Tianjun Zhang · Tongzheng Ren · Mengjiao Yang · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1006
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen · Yao Mu · Ping Luo · Shengbo Li · Jianyu Chen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1008
A Parametric Class of Approximate Gradient Updates for Policy Optimization
Ramki Gummadi · Saurabh Kumar · Junfeng Wen · Dale Schuurmans
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1010
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1012
Robust Policy Learning over Multiple Uncertainty Sets
Annie Xie · Shagun Sodhani · Chelsea Finn · Joelle Pineau · Amy Zhang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1014
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
Siyi Hu · Chuanlong Xie · Xiaodan Liang · Xiaojun Chang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1018
Learning Dynamics and Generalization in Deep Reinforcement Learning
Clare Lyle · Mark Rowland · Will Dabney · Marta Kwiatkowska · Yarin Gal
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1020
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
Daniil Tiapkin · Denis Belomestny · Eric Moulines · Alexey Naumov · Sergey Samsonov · Yunhao Tang · Michal Valko · Pierre MENARD
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
Scott Fujimoto · David Meger · Doina Precup · Ofir Nachum · Shixiang Gu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1026
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
Arnab Kumar Mondal · Vineet Jain · Kaleem Siddiqi · Siamak Ravanbakhsh
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) #1028
Imitation Learning by Estimating Expertise of Demonstrators
Mark Beliaev · Andy Shih · Stefano Ermon · Dorsa Sadigh · Ramtin Pedarsani
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1027
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
Ryan Sullivan · Jordan Terry · Benjamin Black · John P Dickerson
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1025
Off-Policy Evaluation for Large Action Spaces via Embeddings
Yuta Saito · Thorsten Joachims
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1023
Online Decision Transformer
Qinqing Zheng · Amy Zhang · Aditya Grover
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1021
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
Jan Kaiser · Oliver Stein · Annika Eichler
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1019
How to Leverage Unlabeled Data in Offline Reinforcement Learning
Tianhe (Kevin) Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Chelsea Finn · Sergey Levine
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1017
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
Philippe Hansen-Estruch · Amy Zhang · Ashvin Nair · Patrick Yin · Sergey Levine
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1015
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang · Nils Erik Tomas Folke · Patrick Shafto
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1013
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng · Ao Tang · Sandeep Chinchali
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1011
Strategic Representation
Vineet Nair · Ganesh Ghalme · Inbal Talgam-Cohen · Nir Rosenfeld
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1009
Causal Conceptions of Fairness and their Consequences
Hamed Nilforoshan · Johann Gaebler · Ravi Shroff · Sharad Goel
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1007
Fairness with Adaptive Weights
Junyi Chai · Xiaoqian Wang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1001
Understanding Instance-Level Impact of Fairness Constraints
Jialu Wang · Xin Eric Wang · Yang Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1003
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Peizhao Li · Hongfu Liu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1106
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model
Jean-Rémy Conti · Nathan NOIRY · Stephan Clemencon · Vincent Despiegel · Stéphane Gentric
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1108
Selective Regression under Fairness Criteria
Abhin Shah · Yuheng Bu · Joshua Lee · Subhro Das · Rameswar Panda · Prasanna Sattigeri · Gregory Wornell
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1110
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Jiayin Jin · Zeru Zhang · Yang Zhou · Lingfei Wu
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1112
Generalized Strategic Classification and the Case of Aligned Incentives
Sagi Levanon · Nir Rosenfeld
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1114
Improving Screening Processes via Calibrated Subset Selection
Luke Lequn Wang · Thorsten Joachims · Manuel Gomez-Rodriguez
[ Slides
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1116
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
Lucas Agussurja · Xinyi Xu · Bryan Kian Hsiang Low
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1118
Data-SUITE: Data-centric identification of in-distribution incongruous examples
Nabeel Seedat · Jonathan Crabbé · Mihaela van der Schaar
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1120
Counterfactual Prediction for Outcome-Oriented Treatments
Hao Zou · Bo Li · Jiangang Han · Shuiping Chen · Xuetao Ding · Peng Cui
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1122
Optimal Algorithms for Mean Estimation under Local Differential Privacy
Hilal Asi · Vitaly Feldman · Kunal Talwar
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1124
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
Andrew Wagenmaker · Yifang Chen · Max Simchowitz · Simon Du · Kevin Jamieson
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1126
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinksy · Ibrahim Jubran · Dan Feldman
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1125
Shuffle Private Linear Contextual Bandits
Sayak Ray Chowdhury · Xingyu Zhou
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1123
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
Laixi Shi · Gen Li · Yuting Wei · Yuxin Chen · Yuejie Chi
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1121
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
Andrew Wagenmaker · Yifang Chen · Max Simchowitz · Simon Du · Kevin Jamieson
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1119
Label Ranking through Nonparametric Regression
Dimitris Fotakis · Alkis Kalavasis · Eleni Psaroudaki
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1117
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
Dan Qiao · Ming Yin · Ming Min · Yu-Xiang Wang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1115
A Simple Unified Framework for High Dimensional Bandit Problems
Wenjie Li · Adarsh Barik · Jean Honorio
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1113
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
Jiahao He · Jiheng Zhang · Rachel Q. Zhang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1111
Branching Reinforcement Learning
Yihan Du · Wei Chen
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1109
Fast rates for noisy interpolation require rethinking the effect of inductive bias
Konstantin Donhauser · Nicolò Ruggeri · Stefan Stojanovic · Fanny Yang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1107
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Haoyuan Cai · Tengyu Ma · Simon Du
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1101
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
sajad khodadadian · PRANAY SHARMA · Gauri Joshi · Siva Maguluri
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1103
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le · Dung Le · Huy Nguyen · · Tung Pham · Nhat Ho
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1206
No-Regret Learning in Partially-Informed Auctions
Wenshuo Guo · Michael Jordan · Ellen Vitercik
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1208
On Last-Iterate Convergence Beyond Zero-Sum Games
Ioannis Anagnostides · Ioannis Panageas · Gabriele Farina · Tuomas Sandholm
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1210
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
Gabriele Farina · Chung-Wei Lee · Haipeng Luo · Christian Kroer
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1212
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
Lucas Baudin · Rida Laraki
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1214
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
Gregory Dexter · Agniva Chowdhury · Haim Avron · Petros Drineas
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1216
Nested Bandits
Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier · Houssam Zenati
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1218
Information Discrepancy in Strategic Learning
Yahav Bechavod · Chara Podimata · Steven Wu · Juba Ziani
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1220
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
Kimon Antonakopoulos · Dong Quan Vu · Volkan Cevher · Kfir Levy · Panayotis Mertikopoulos
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1222
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
Martino Bernasconi · Federico Cacciamani · Matteo Castiglioni · Alberto Marchesi · Nicola Gatti · Francesco Trovò
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1224
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Luca Carminati · Federico Cacciamani · Marco Ciccone · Nicola Gatti
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1221
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Sonja Kraiczy · Edith Elkind
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1219
Selling Data To a Machine Learner: Pricing via Costly Signaling
Junjie Chen · Minming Li · Haifeng Xu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1217
Hardness and Algorithms for Robust and Sparse Optimization
Eric Price · Sandeep Silwal · Samson Zhou
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1215
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani · Oren Mangoubi · Sushant Sachdeva · Nisheeth K. Vishnoi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1213
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Qixin Zhang · Zengde Deng · Zaiyi Chen · Haoyuan Hu · Yu Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1211
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Jungbin Kim · Insoon Yang
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1207
The Complexity of k-Means Clustering when Little is Known
Robert Ganian · Thekla Hamm · Viktoriia Korchemna · Karolina Okrasa · Kirill Simonov
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1209
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
Kyriakos Axiotis ·
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1310
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
Peter Richtarik · Igor Sokolov · Elnur Gasanov · Ilyas Fatkhullin · Zhize Li · Eduard Gorbunov
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1312
Nearly Optimal Catoni’s M-estimator for Infinite Variance
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
[ Slides [ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1314
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Tianrui Chen · Aditya Gangrade · Venkatesh Saligrama
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1316
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis
Oisin Faust · Hamza Fawzi
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1318
Contextual Information-Directed Sampling
Botao Hao · Tor Lattimore · Chao Qin
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1320
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
Avishek Ghosh · Abishek Sankararaman
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1319
Universal and data-adaptive algorithms for model selection in linear contextual bandits
Vidya Muthukumar · Akshay Krishnamurthy
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1317
Regret Minimization with Performative Feedback
Meena Jagadeesan · Tijana Zrnic · Celestine Mendler-Dünner
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1315
A Simple yet Universal Strategy for Online Convex Optimization
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1309
Deep Hierarchy in Bandits
Joey Hong · Branislav Kveton · Sumeet Katariya · Manzil Zaheer · Mohammad Ghavamzadeh
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1311
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
Sho Takemori
[ Slides [ Poster [ Paper PDF
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1409
Asymptotically-Optimal Gaussian Bandits with Side Observations
Alexia Atsidakou · Orestis Papadigenopoulos · Constantine Caramanis · Sujay Sanghavi · Sanjay Shakkottai
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1414
Learning from a Learning User for Optimal Recommendations
Fan Yao · Chuanhao Li · Denis Nekipelov · Hongning Wang · Haifeng Xu
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1416
Thresholded Lasso Bandit
Kaito Ariu · Kenshi Abe · Alexandre Proutiere
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1418
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences
Aadirupa Saha · Pierre Gaillard
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1411
Decentralized Online Convex Optimization in Networked Systems
Yiheng Lin · Judy Gan · Guannan Qu · Yash Kanoria · Adam Wierman
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1413
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
Xuezhou Zhang · Yuda Song · Masatoshi Uehara · Mengdi Wang · Alekh Agarwal · Wen Sun
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1420
Sketching Algorithms and Lower Bounds for Ridge Regression
Praneeth Kacham · David Woodruff
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1422
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao · Lin Yang · Kaiqing Zhang · Tamer Basar
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1424
Utility Theory for Sequential Decision Making
Mehran Shakerinava · Siamak Ravanbakhsh
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1426
Online Learning with Knapsacks: the Best of Both Worlds
Matteo Castiglioni · Andrea Celli · Christian Kroer
[ Poster
Poster
Thu Jul 21 03:00 PM -- 05:00 PM (PDT) @ Hall E #1428
Optimal Clustering with Noisy Queries via Multi-Armed Bandit
Jinghui Xia · Zengfeng Huang
[ Poster