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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Peter J. Bevan · Amir Atapour-Abarghouei
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
Benjamin Coleman · Benito Geordie · Li Chou · R. A. Leo Elworth · Todd Treangen · Anshumali Shrivastava
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #104
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
Jing Lin · Xiaowan Hu · Yuanhao Cai · Haoqian Wang · Youliang Yan · Xueyi Zou · Yulun Zhang · Luc Van Gool
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
Jintai Chen · KuanLun Liao · Kun Wei · Haochao Ying · Danny Z Chen · Jian Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
Yichen Gu · DAVID BLAAUW · Joshua Welch
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Yuqing Du · Daniel Ho · Alexander Alemi · Eric Jang · Mohi Khansari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
De novo mass spectrometry peptide sequencing with a transformer model
Melih Yilmaz · William Fondrie · Wout Bittremieux · Sewoong Oh · William Noble
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
Learning inverse folding from millions of predicted structures
Chloe Hsu · Robert Verkuil · Jason Liu · Zeming Lin · Brian Hie · Tom Sercu · Adam Lerer · Alexander Rives
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Heeseung Kim · Sungwon Kim · Sungroh Yoon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #118
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
Zhenhong Sun · Ming Lin · Xiuyu Sun · Zhiyu Tan · Hao Li · rong jin
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Proximal Exploration for Model-guided Protein Sequence Design
Zhizhou Ren · Jiahan Li · Fan Ding · Yuan Zhou · Jianzhu Ma · Jian Peng
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #122
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval
Pascal Notin · Mafalda Dias · Jonathan Frazer · Javier Marchena Hurtado · Aidan Gomez · Debora Marks · Yarin Gal
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
Chengyue Gong · · Qiang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Biao Zhang · Behrooz Ghorbani · Ankur Bapna · Yong Cheng · Xavier Garcia · Jonathan Shen · Orhan Firat
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
Yanqi Chen · Zhaofei Yu · Wei Fang · Zhengyu Ma · Tiejun Huang · Yonghong Tian
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #133
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution
Kailu Wu · Chung-Kuei Lee · Kaisheng Ma
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
Zoe Landgraf · Alexander Sorkine Hornung · ricardo cabral
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
Tanmay Shankar · Yixin Lin · Aravind Rajeswaran · Vikash Kumar · Stuart Anderson · Jean Oh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Jiayao Zhang · Hongming ZHANG · Weijie Su · Dan Roth
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Generative Coarse-Graining of Molecular Conformations
Wujie Wang · Minkai Xu · Chen Cai · Benjamin Kurt Miller · Tess Smidt · Yusu Wang · Jian Tang · Rafael Gomez-Bombarelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann · Kunyang Sun · Bo Zhao · Mudong Feng · Michael Gilson · Rose Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #121
Learning to Separate Voices by Spatial Regions
Zhongweiyang Xu · Romit Roy Choudhury
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Yinan Huang · Xingang Peng · Jianzhu Ma · Muhan Zhang
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk · Dominique Beaini · Gabriele Corso · Prudencio Tossou · Christian Dallago · Stephan Günnemann · Pietro Lió
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
Biological Sequence Design with GFlowNets
Moksh Jain · Emmanuel Bengio · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Bonaventure Dossou · Chanakya Ekbote · Jie Fu · Tianyu Zhang · Michael Kilgour · Dinghuai Zhang · Lena Simine · Payel Das · Yoshua Bengio
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng · Shitong Luo · Jiaqi Guan · Qi Xie · Jian Peng · Jianzhu Ma
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer
Yue Wan · Chang-Yu (Kim) Hsieh · Ben Liao · Shengyu Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
Guangyu Shen · Yingqi Liu · Guanhong Tao · Qiuling Xu · ZHUO ZHANG · Shengwei An · Shiqing Ma · Xiangyu Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules
Juhwan Noh · Dae-Woong Jeong · Kiyoung Kim · Sehui Han · Moontae Lee · Honglak Lee · Yousung Jung
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk · Octavian Ganea · Lagnajit Pattanaik · Regina Barzilay · Tommi Jaakkola
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Matching Structure for Dual Learning
Hao Fei · Shengqiong Wu · Yafeng Ren · Meishan Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li · DONGXU LI · Caiming Xiong · Steven Hoi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
Edresson Casanova · Julian Weber · Christopher Shulby · Arnaldo Candido Junior · Eren Gölge · Moacir Ponti
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger · Zhengxuan Wu · Hanson Lu · Joshua Rozner · Elisa Kreiss · Thomas Icard · Noah Goodman · Christopher Potts
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
SDQ: Stochastic Differentiable Quantization with Mixed Precision
Xijie Huang · Zhiqiang Shen · Shichao Li · Zechun Liu · Hu Xianghong · Jeffry Wicaksana · Eric Xing · Kwang-Ting Cheng
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
Emanuele Bugliarello · Fangyu Liu · Jonas Pfeiffer · Siva Reddy · Desmond Elliott · Edoardo Maria Ponti · Ivan Vulić
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
Re-evaluating Word Mover's Distance
Ryoma Sato · Makoto Yamada · Hisashi Kashima
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #224
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
Ye Jia · Michelle Tadmor Ramanovich · Tal Remez · Roi Pomerantz
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Justin Jude · Matthew G. Perich · Lee Miller · Matthias Hennig
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Symmetric Machine Theory of Mind
Melanie Sclar · Graham Neubig · Yonatan Bisk
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
Qingru Zhang · Simiao Zuo · Chen Liang · Alexander Bukharin · Pengcheng He · Weizhu Chen · Tuo Zhao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack
Michael Teti · Garrett T Kenyon · Benjamin Migliori · Juston Moore
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series
Daniel Kramer · Philine Bommer · Carlo Tombolini · Georgia Koppe · Daniel Durstewitz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
Alexandre Pasquiou · Yair Lakretz · John Hale · Thirion Bertrand · Christophe Pallier
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards understanding how momentum improves generalization in deep learning
Samy Jelassi · Yuanzhi Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?
Tiffany Vlaar · Jonathan Frankle
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Deep equilibrium networks are sensitive to initialization statistics
Atish Agarwala · Samuel Schoenholz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework
Jiahao Su · Wonmin Byeon · Furong Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Arindam Banerjee · Tiancong Chen · Xinyan Li · Yingxue Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Local Augmentation for Graph Neural Networks
Songtao Liu · Rex (Zhitao) Ying · Hanze Dong · Lanqing Li · Tingyang Xu · Yu Rong · Peilin Zhao · Junzhou Huang · Dinghao Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
On Non-local Convergence Analysis of Deep Linear Networks
Kun Chen · Dachao Lin · Zhihua Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Diversified Adversarial Attacks based on Conjugate Gradient Method
Keiichiro Yamamura · Haruki Sato · Nariaki Tateiwa · Nozomi Hata · Toru Mitsutake · Issa Oe · Hiroki Ishikura · Katsuki Fujisawa
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou · Xiao Li · Tianyu Ding · Chong You · Qing Qu · Zhihui Zhu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
On the Equivalence Between Temporal and Static Equivariant Graph Representations
Jianfei Gao · Bruno Ribeiro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Robust Training under Label Noise by Over-parameterization
Sheng Liu · Zhihui Zhu · Qing Qu · Chong You
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
Mor Shpigel Nacson · Kavya Ravichandran · Nati Srebro · Daniel Soudry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Tom Tirer · Joan Bruna
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
Giannis Daras · Yuval Dagan · Alexandros Dimakis · Constantinos Daskalakis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #205
On Numerical Integration in Neural Ordinary Differential Equations
Aiqing Zhu · Pengzhan Jin · Beibei Zhu · Yifa Tang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Reverse Engineering the Neural Tangent Kernel
James B Simon · Sajant Anand · Michael R DeWeese
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #201
Principled Knowledge Extrapolation with GANs
Ruili Feng · Jie Xiao · Kecheng Zheng · Deli Zhao · Jingren Zhou · Qibin Sun · Zheng-Jun Zha
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Jianyi Yang · Shaolei Ren
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Data Augmentation as Feature Manipulation
Ruoqi Shen · Sebastien Bubeck · Suriya Gunasekar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Convolutional and Residual Networks Provably Contain Lottery Tickets
Rebekka Burkholz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
Feature Learning and Signal Propagation in Deep Neural Networks
Yizhang Lou · Chris Mingard · Soufiane Hayou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
Robust Training of Neural Networks Using Scale Invariant Architectures
Zhiyuan Li · Srinadh Bhojanapalli · Manzil Zaheer · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Nikunj Umesh Saunshi · Jordan Ash · Surbhi Goel · Dipendra Kumar Misra · Cyril Zhang · Sanjeev Arora · Sham Kakade · Akshay Krishnamurthy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
Kais HARIZ · Hachem Kadri · Stephane Ayache · Maher Moakher · Thierry Artieres
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
Deep Network Approximation in Terms of Intrinsic Parameters
Zuowei Shen · Haizhao Yang · Shijun Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Coin Flipping Neural Networks
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #318
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
Alexander Wei · Wei Hu · Jacob Steinhardt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
weitao du · He Zhang · Yuanqi Du · Qi Meng · Wei Chen · Nanning Zheng · Bin Shao · Tie-Yan Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont · Hyunjik Kim · S. M. Ali Eslami · Danilo J. Rezende · Dan Rosenbaum
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Rong Dai · Li Shen · Fengxiang He · Xinmei Tian · Dacheng Tao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Differentiable Top-k Classification Learning
Felix Petersen · Hilde Kuehne · Christian Borgelt · Oliver Deussen
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #330
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Runpei Dong · Zhanhong Tan · Mengdi Wu · Linfeng Zhang · Kaisheng Ma
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
Nan Wu · Stanislaw Jastrzebski · Kyunghyun Cho · Krzysztof J Geras
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Training Your Sparse Neural Network Better with Any Mask
Ajay Jaiswal · Haoyu Ma · Tianlong Chen · Ying Ding · Zhangyang “Atlas” Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Federated Learning with Positive and Unlabeled Data
Xinyang Lin · Hanting Chen · Yixing Xu · Chao Xu · Xiaolin Gui · Yiping Deng · Yunhe Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Generating 3D Molecules for Target Protein Binding
Meng Liu · Youzhi Luo · Kanji Uchino · Koji Maruhashi · Shuiwang Ji
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zheng He · Zeke Xie · Quanzhi Zhu · Zengchang Qin
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs
Yikang Zhang · zhuo chen · Zhao Zhong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Revisiting Consistency Regularization for Deep Partial Label Learning
Dong-Dong Wu · Deng-Bao Wang · Min-Ling Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
Camille Garcin · Maximilien Servajean · Alexis Joly · Joseph Salmon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Yu Pan · Zeyong Su · Ao Liu · Jingquan Wang · Nannan Li · ZENGLIN Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li · Suraj Kothawade · Feng Chen · Rishabh Iyer
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Multicoated Supermasks Enhance Hidden Networks
Yasuyuki Okoshi · Ángel López García-Arias · Kazutoshi Hirose · Kota Ando · Kazushi Kawamura · Thiem Van Chu · Masato Motomura · Jaehoon Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
Generating Distributional Adversarial Examples to Evade Statistical Detectors
Yigitcan Kaya · Muhammad Bilal Zafar · Sergul Aydore · Nathalie Rauschmayr · Krishnaram Kenthapadi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao · Yu Wang · Sai Li · Linjun Zhang · Weixin Liang · James Zou · Chelsea Finn
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Modeling Adversarial Noise for Adversarial Training
Dawei Zhou · Nannan Wang · Bo Han · Tongliang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Improving Adversarial Robustness via Mutual Information Estimation
Dawei Zhou · Nannan Wang · Xinbo Gao · Bo Han · Xiaoyu Wang · Yibing Zhan · Tongliang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
FOCUS: Familiar Objects in Common and Uncommon Settings
Priyatham Kattakinda · Soheil Feizi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
Deokjae Lee · Seungyong Moon · Junhyeok Lee · Hyun Oh Song
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Mohammad Zalbagi Darestani · Jiayu Liu · Reinhard Heckel
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
A Dynamical System Perspective for Lipschitz Neural Networks
Laurent Meunier · Blaise Delattre · Alexandre ARAUJO · Alexandre Allauzen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang · Gabriel Ilharco · Mitchell Wortsman · Yuhao Wan · Vaishaal Shankar · Achal Dave · Ludwig Schmidt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang · Ashwinee Panda · Linyue Song · Yaoqing Yang · Michael Mahoney · Prateek Mittal · Kannan Ramchandran · Joseph E Gonzalez
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan · Ehsan Abbasnejad · Javen Qinfeng Shi · Damith Ranashinghe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
Cheng Lu · Kaiwen Zheng · Fan Bao · Jianfei Chen · Chongxuan Li · Jun Zhu
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
Fast Lossless Neural Compression with Integer-Only Discrete Flows
Siyu Wang · Jianfei Chen · Chongxuan Li · Jun Zhu · Bo Zhang
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Yuhta Takida · Takashi Shibuya · WeiHsiang Liao · Chieh-Hsin Lai · Junki Ohmura · Toshimitsu Uesaka · Naoki Murata · Shusuke Takahashi · Toshiyuki Kumakura · Yuki Mitsufuji
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation
Giorgio Giannone · Ole Winther
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig · Yiren Zhao · Robert Mullins
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #408
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang · Shenda Hong
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Yihan Wu · Hongyang Zhang · Heng Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
Modeling Structure with Undirected Neural Networks
Tsvetomila Mihaylova · Vlad Niculae · Andre Filipe Torres Martins
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
Certified Neural Network Watermarks with Randomized Smoothing
Arpit Bansal · Ping-yeh Chiang · Michael Curry · Rajiv Jain · Curtis Wigington · Varun Manjunatha · John P Dickerson · Tom Goldstein
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation
Wenxiao Wang · Alexander Levine · Soheil Feizi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Adversarial Vulnerability of Randomized Ensembles
Hassan Dbouk · Naresh Shanbhag
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Robustness Verification for Contrastive Learning
Zekai Wang · Weiwei Liu
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #422
The CLRS Algorithmic Reasoning Benchmark
Petar Veličković · Adrià Puigdomenech Badia · David Budden · Razvan Pascanu · Andrea Banino · Misha Dashevskiy · Raia Hadsell · Charles Blundell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li · Renyu Zhu · Yao Cheng · Caihua Shan · Siqiang Luo · Dongsheng Li · Weining Qian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Understanding Robust Generalization in Learning Regular Languages
Soham Dan · Osbert Bastani · Dan Roth
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #428
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Leo Schwinn · Leon Bungert · An Nguyen · René Raab · Falk Pulsmeyer · Doina Precup · Bjoern Eskofier · Dario Zanca
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
Wenzheng Hou · Qianqian Xu · zhiyong yang · Shilong Bao · Yuan He · Qingming Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
A Modern Self-Referential Weight Matrix That Learns to Modify Itself
Kazuki Irie · Imanol Schlag · Robert Cordas · Jürgen Schmidhuber
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #436
Short-Term Plasticity Neurons Learning to Learn and Forget
Hector Garcia Rodriguez · Qinghai Guo · Timoleon Moraitis
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #438
$p$-Laplacian Based Graph Neural Networks
Guoji Fu · Peilin Zhao · Yatao Bian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Equivariant Quantum Graph Circuits
Peter Mernyei · Konstantinos Meichanetzidis · Ismail Ceylan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp · Roger Wattenhofer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Variational On-the-Fly Personalization
Jangho Kim · Jun-Tae Lee · Simyung Chang · NOJUN KWAK
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #433
Deep symbolic regression for recurrence prediction
Stéphane d'Ascoli · Pierre-Alexandre Kamienny · Guillaume Lample · Francois Charton
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Geometric Multimodal Contrastive Representation Learning
Petra Poklukar · Miguel Vasco · Hang Yin · Francisco S. Melo · Ana Paiva · Danica Kragic
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Universality of Winning Tickets: A Renormalization Group Perspective
William T. Redman · Tianlong Chen · Zhangyang “Atlas” Wang · Akshunna S. Dogra
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Haotao Wang · Aston Zhang · Yi Zhu · Shuai Zheng · Mu Li · Alex Smola · Zhangyang “Atlas” Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Loss Function Learning for Domain Generalization by Implicit Gradient
Boyan Gao · Henry Gouk · Yongxin Yang · Timothy Hospedales
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Haiyang Yu · Limei Wang · Bokun Wang · Meng Liu · Tianbao Yang · Shuiwang Ji
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Hongkang Li · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
A Differential Entropy Estimator for Training Neural Networks
Georg Pichler · Pierre Colombo · Malik Boudiaf · Günther Koliander · Pablo Piantanida
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks · Steven Basart · Mantas Mazeika · Andy Zou · joseph kwon · Mohammadreza Mostajabi · Jacob Steinhardt · Dawn Song
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo · Seul Lee · Sung Ju Hwang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus · Andreas Loukas · Nathanaël Perraudin · Roger Wattenhofer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
The Infinite Contextual Graph Markov Model
Daniele Castellana · Federico Errica · Davide Bacciu · Alessio Micheli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Yu Gong · Greg Mori · Frederick Tung
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Detached Error Feedback for Distributed SGD with Random Sparsification
An Xu · Heng Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Training OOD Detectors in their Natural Habitats
Julian Katz-Samuels · Julia Nakhleh · Robert Nowak · Yixuan Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin · Keane Lucas · Lujo Bauer · Michael Reiter · Mahmood Sharif
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Neural Tangent Kernel Empowered Federated Learning
Kai Yue · Richeng Jin · Ryan Pilgrim · Chau-Wai Wong · Dror Baron · Huaiyu Dai
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
Alex Robey · Luiz F. O. Chamon · George J. Pappas · Hamed Hassani
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
Adversarially trained neural representations are already as robust as biological neural representations
Chong Guo · Michael Lee · Guillaume Leclerc · Joel Dapello · Yug Rao · Aleksander Madry · James DiCarlo
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Feature Space Particle Inference for Neural Network Ensembles
Shingo Yashima · Teppei Suzuki · Kohta Ishikawa · Ikuro Sato · Rei Kawakami
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
A Study on the Ramanujan Graph Property of Winning Lottery Tickets
Bithika Pal · Arindam Biswas · Sudeshna Kolay · Pabitra Mitra · Biswajit Basu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Sanghoon Myung · In Huh · Wonik Jang · Jae Myung Choe · Jisu Ryu · Daesin Kim · Kee-Eung Kim · Changwook Jeong
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Shay Vargaftik · Ran Ben Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben Itzhak · Michael Mitzenmacher
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Minyoung Kim · Da Li · Xu Hu · Timothy Hospedales
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino · Antonio Ferraro · Gabriele Perugini · Christoph Feinauer · Carlo Baldassi · RIccardo Zecchina
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #516
Towards Understanding Sharpness-Aware Minimization
Maksym Andriushchenko · Nicolas Flammarion
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
Mariia Seleznova · Gitta Kutyniok
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
Implicit Bias of Linear Equivariant Networks
Hannah Lawrence · Bobak T Kiani · Kristian Georgiev · Andrew Dienes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
The State of Sparse Training in Deep Reinforcement Learning
Laura Graesser · Utku Evci · Erich Elsen · Pablo Samuel Castro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
Lily Zhang · Veronica Tozzo · John Higgins · Rajesh Ranganath
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
Datamodels: Understanding Predictions with Data and Data with Predictions
Andrew Ilyas · Sung Min (Sam) Park · Logan Engstrom · Guillaume Leclerc · Aleksander Madry
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Yihua Zhang · Guanhua Zhang · Prashant Khanduri · Mingyi Hong · Shiyu Chang · Sijia Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Deep Causal Metric Learning
Xiang Deng · Zhongfei Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang · Tian Yu Liu · Baharan Mirzasoleiman
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Learning Symmetric Embeddings for Equivariant World Models
Jung Yeon Park · Ondrej Biza · Linfeng Zhao · Jan-Willem van de Meent · Robin Walters
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
Mustafa Burak Gurbuz · Constantine Dovrolis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao · Jeffrey Pennington
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
Auxiliary Learning with Joint Task and Data Scheduling
Hong Chen · Xin Wang · Chaoyu Guan · Yue Liu · Wenwu Zhu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Rui Liu · Young Jin Kim · Alexandre Muzio · Hany Hassan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang · Yanming Shen · Rui Li · Heng Qi · Qiang Zhang · Baocai Yin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu · Hongyang Gao
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
Weisfeiler-Lehman Meets Gromov-Wasserstein
Samantha Chen · Sunhyuk Lim · Facundo Memoli · Zhengchao Wan · Yusu Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
GenLabel: Mixup Relabeling using Generative Models
Jy yong Sohn · Liang Shang · Hongxu Chen · Jaekyun Moon · Dimitris Papailiopoulos · Kangwook Lee
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
When and How Mixup Improves Calibration
Linjun Zhang · Zhun Deng · Kenji Kawaguchi · James Zou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
On Transportation of Mini-batches: A Hierarchical Approach
Khai Nguyen · Dang Nguyen · Quoc Nguyen · Tung Pham · Hung Bui · Dinh Phung · Trung Le · Nhat Ho
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
Randy Ardywibowo · Zepeng Huo · Zhangyang “Atlas” Wang · Bobak Mortazavi · Shuai Huang · Xiaoning Qian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Zhaowei Zhu · Jialu Wang · Yang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
Yiting Cao · Chao Lan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Stable Conformal Prediction Sets
Eugene Ndiaye
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Rethinking Fano’s Inequality in Ensemble Learning
Terufumi Morishita · Gaku Morio · Shota Horiguchi · Hiroaki Ozaki · Nobuo Nukaga
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
Abishek Sankararaman · Balakrishnan Narayanaswamy · Vikramank Singh · Zhao Song
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Improving Mini-batch Optimal Transport via Partial Transportation
Khai Nguyen · Dang Nguyen · The-Anh Vu-Le · Tung Pham · Nhat Ho
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Near-optimal rate of consistency for linear models with missing values
Alexis Ayme · Claire Boyer · Aymeric Dieuleveut · Erwan Scornet
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
Permutation Search of Tensor Network Structures via Local Sampling
Chao Li · Junhua Zeng · Zerui Tao · Qibin Zhao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran · Ngoc-Trung Tran · Yunqing Zhao · Ngai-Man Cheung
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
DNNR: Differential Nearest Neighbors Regression
Youssef Nader · Leon Sixt · Tim Landgraf
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Yun He · Steven Zheng · Yi Tay · Jai Gupta · Yu Du · Vamsi Aribandi · Zhe Zhao · Yaguang Li · Zhao Chen · Don Metzler · Heng-Tze Cheng · Ed Chi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #604
Validating Causal Inference Methods
Harsh Parikh · Carlos Varjao · Louise Xu · Eric Tchetgen Tchetgen
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
Hadeel Soliman · Lingfei Zhao · Zhipeng Huang · Subhadeep Paul · Kevin Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Scalable Deep Gaussian Markov Random Fields for General Graphs
Joel Oskarsson · Per Sidén · Fredrik Lindsten
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Xi Zhang · Akshay Aravamudan · Georgios Anagnostopoulos
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection
Wenchao Chen · Long Tian · Bo Chen · Liang Dai · Zhibin Duan · Mingyuan Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Decomposing Temporal High-Order Interactions via Latent ODEs
Shibo Li · Robert Kirby · Shandian Zhe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Tal Shnitzer · Mikhail Yurochkin · Kristjan Greenewald · Justin Solomon
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Jiameng Fan · Wenchao Li
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Mohammad Taha Bahadori · Eric Tchetgen Tchetgen · David Heckerman
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Role-based Multiplex Network Embedding
Hegui Zhang · Gang Kou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
Measure Estimation in the Barycentric Coding Model
Matthew Werenski · Ruijie Jiang · Abiy Tasissa · Shuchin Aeron · James Murphy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
Victor Chernozhukov · Whitney Newey · Víctor Quintas-Martínez · Vasilis Syrgkanis
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Counterfactual Transportability: A Formal Approach
Juan Correa · Sanghack Lee · Elias Bareinboim
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Identification of Linear Non-Gaussian Latent Hierarchical Structure
Feng Xie · Biwei Huang · Zhengming Chen · Yangbo He · zhi geng · Kun Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
COAT: Measuring Object Compositionality in Emergent Representations
Sirui Xie · Ari Morcos · Song-Chun Zhu · Shanmukha Ramakrishna Vedantam
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Generalization and Robustness Implications in Object-Centric Learning
Andrea Dittadi · Samuele Papa · Michele De Vita · Bernhard Schölkopf · Ole Winther · Francesco Locatello
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Wentao Zhang · Zeang Sheng · Mingyu Yang · Yang Li · Yu Shen · Zhi Yang · Bin Cui
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Action-Sufficient State Representation Learning for Control with Structural Constraints
Biwei Huang · Chaochao Lu · Liu Leqi · Jose Miguel Hernandez-Lobato · Clark Glymour · Bernhard Schölkopf · Kun Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization
Frederik Benzing
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing (Ellen) Tan · Chung-Chou H. Chang · Ling Zhou · Lu Tang
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Entropic Causal Inference: Graph Identifiability
Spencer Compton · Kristjan Greenewald · Dmitriy Katz · Murat Kocaoglu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija · Xing Han · Nhat Ho · Joydeep Ghosh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Conformal Prediction Sets with Limited False Positives
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
Scalable Computation of Causal Bounds
Madhumitha Shridharan · Garud Iyengar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Piotr Tempczyk · Rafał Michaluk · Łukasz Garncarek · Przemysław Spurek · Jacek Tabor · Adam Golinski
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning
Pengjie Gu · Mengchen Zhao · Chen Chen · Dong Li · Jianye Hao · Bo An
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
A Statistical Manifold Framework for Point Cloud Data
Yonghyeon Lee · Seungyeon Kim · Jinwon Choi · Frank Chongwoo Park
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Daniel Jarrett · Bogdan Cebere · Tennison Liu · Alicia Curth · Mihaela van der Schaar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Partial Label Learning via Label Influence Function
Xiuwen Gong · Dong Yuan · Wei Bao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees
Verónica Álvarez · Santiago Mazuelas · Jose A Lozano
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Understanding Robust Overfitting of Adversarial Training and Beyond
Chaojian Yu · Bo Han · Li Shen · Jun Yu · Chen Gong · Mingming Gong · Tongliang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
Hugo Lebeau · Romain Couillet · Florent Chatelain
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
Abhineet Agarwal · Yan Shuo Tan · Omer Ronen · Chandan Singh · Bin Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Supervised Learning with General Risk Functionals
Liu Leqi · Audrey Huang · Zachary Lipton · Kamyar Azizzadenesheli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
Ron Dorfman · Kfir Levy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Fast Composite Optimization and Statistical Recovery in Federated Learning
Yajie Bao · Michael Crawshaw · Shan Luo · Mingrui Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
Jingzhao Zhang · Hongzhou Lin · Subhro Das · Suvrit Sra · Ali Jadbabaie
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
Alberto Bietti · Chen-Yu Wei · Miroslav Dudik · John Langford · Steven Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Wei Jiang · Bokun Wang · Yibo Wang · Lijun Zhang · Tianbao Yang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang · Tianbao Yang
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
Yoonhyung Lee · Sungdong Lee · Joong-Ho (Johann) Won
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
Konstantin Mishchenko · Grigory Malinovsky · Sebastian Stich · Peter Richtarik
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Communication-Efficient Adaptive Federated Learning
Yujia Wang · Lu Lin · Jinghui Chen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
Yair Carmon · Arun Jambulapati · Yujia Jin · Aaron Sidford
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
Yuanyuan Liu · Fanhua Shang · Weixin An · Hongying Liu · Zhouchen Lin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin · Jiaxiang Ren · Yang Zhou · Lingjuan Lyu · Ji Liu · Dejing Dou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
Sadegh Farhadkhani · Rachid Guerraoui · Nirupam Gupta · Rafael Pinot · John Stephan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
TSPipe: Learn from Teacher Faster with Pipelines
Hwijoon Lim · Yechan Kim · Sukmin Yun · Jinwoo Shin · Dongsu Han
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Personalized Federated Learning through Local Memorization
Othmane Marfoq · Giovanni Neglia · Richard Vidal · Laetitia Kameni
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
Yi Wang · Zhiren Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
Risheng Liu · Xuan Liu · Shangzhi Zeng · Jin Zhang · Yixuan ZHANG
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Generalizing Gaussian Smoothing for Random Search
Katelyn Gao · Ozan Sener
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
A General Recipe for Likelihood-free Bayesian Optimization
Jiaming Song · Lantao Yu · Willie Neiswanger · Stefano Ermon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
Theodore Papalexopoulos · Christian Tjandraatmadja · Ross Anderson · Juan Pablo Vielma · David Belanger
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Risk-Averse No-Regret Learning in Online Convex Games
Zifan Wang · Yi Shen · Michael Zavlanos
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
Xin Chen · Yujie Tang · Na Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Robust Multi-Objective Bayesian Optimization Under Input Noise
Samuel Daulton · Sait Cakmak · Maximilian Balandat · Michael A Osborne · Enlu Zhou · Eytan Bakshy
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Wanli Shi · Hongchang Gao · Bin Gu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
The power of first-order smooth optimization for black-box non-smooth problems
Alexander Gasnikov · Anton Novitskii · Vasilii Novitskii · Farshed Abdukhakimov · Dmitry Kamzolov · Aleksandr Beznosikov · Martin Takac · Pavel Dvurechenskii · Bin Gu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann · Lorenzo Noci · Thomas Hofmann
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Surrogate Likelihoods for Variational Annealed Importance Sampling
Martin Jankowiak · Du Phan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast · Zheng Wang · Shandian Zhe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #723
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows
Feynman Liang · Michael Mahoney · Liam Hodgkinson
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Variational Sparse Coding with Learned Thresholding
Kion Fallah · Christopher Rozell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Structured Stochastic Gradient MCMC
Antonios Alexos · Alex Boyd · Stephan Mandt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
Zhao Tang Luo · Huiyan Sang · Bani Mallick
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner · Justin Domke
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #713
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Mao Ye · Qiang Liu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao · Rahul Ramesh · Pratik Chaudhari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Bayesian Continuous-Time Tucker Decomposition
Shikai Fang · Akil Narayan · Robert Kirby · Shandian Zhe
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti · Louis Filstroff · Samuel Kaski
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Discrete Probabilistic Inverse Optimal Transport
Wei-Ting Chiu · Pei Wang · Patrick Shafto
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Michael Wojnowicz · Shuchin Aeron · Eric Miller · Michael Hughes
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Streaming Inference for Infinite Feature Models
Rylan Schaeffer · Yilun Du · Gabrielle K Liu · Ila R. Fiete
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Tom Blau · Edwin V Bonilla · Iadine Chades · Amir Dezfouli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Function-space Inference with Sparse Implicit Processes
Simon R Santana · Bryan Zaldivar · Daniel Hernandez-Lobato
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret · David Blei
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Personalized Federated Learning via Variational Bayesian Inference
Xu Zhang · Yinchuan Li · Wenpeng Li · Kaiyang Guo · Yunfeng Shao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
Jiri Hron · Roman Novak · Jeffrey Pennington · Jascha Sohl-Dickstein
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Bayesian Deep Embedding Topic Meta-Learner
Zhibin Duan · Yishi Xu · Jianqiao Sun · Bo Chen · Wenchao Chen · CHAOJIE WANG · Mingyuan Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Yohan Jung · Kyungwoo Song · Jinkyoo Park
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
Modeling Strong and Human-Like Gameplay with KL-Regularized Search
Athul Paul Jacob · David Wu · Gabriele Farina · Adam Lerer · Hengyuan Hu · Anton Bakhtin · Jacob Andreas · Noam Brown
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters
Vladislav Kurenkov · Sergey Kolesnikov
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Yunfei Li · Tian Gao · Jiaqi Yang · Huazhe Xu · Yi Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #822
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search
Qi Wang · Herke van Hoof
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #824
Generalized Data Distribution Iteration
Jiajun Fan · Changnan Xiao
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Optimizing Tensor Network Contraction Using Reinforcement Learning
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
History Compression via Language Models in Reinforcement Learning
Fabian Paischer · Thomas Adler · Vihang Patil · Angela Bitto-Nemling · Markus Holzleitner · Sebastian Lehner · Hamid Eghbal-zadeh · Sepp Hochreiter
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu · Deepak Pathak · Kris Kitani
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
David Ireland · Giovanni Montana
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Efficient Learning for AlphaZero via Path Consistency
Dengwei Zhao · Shikui Tu · Lei Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
A data-driven approach for learning to control computers
Peter Humphreys · David Raposo · Tobias Pohlen · Gregory Thornton · Rachita Chhaparia · Alistair Muldal · Josh Abramson · Petko Georgiev · Adam Santoro · Timothy Lillicrap
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Zero-Shot Reward Specification via Grounded Natural Language
Parsa Mahmoudieh · Deepak Pathak · Trevor Darrell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
Augustine Mavor-Parker · Kimberly Young · Caswell Barry · Lewis Griffin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos · Eszter Vértes · Zita Marinho · Gregory Farquhar · Diana Borsa · Abe Friesen · Feryal Behbahani · Tom Schaul · Andre Barreto · Simon Osindero
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Improving Policy Optimization with Generalist-Specialist Learning
Zhiwei Jia · Xuanlin Li · Zhan Ling · Shuang Liu · Yiran Wu · Hao Su
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
Yunhao Tang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Analysis of Stochastic Processes through Replay Buffers
Shirli Di-Castro Shashua · Shie Mannor · Dotan Di Castro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
Yingjie Fei · Ruitu Xu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Communicating via Markov Decision Processes
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Matilde Gargiani · Andrea Zanelli · Andrea Martinelli · Tyler Summers · John Lygeros
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
Hassam Sheikh · Kizza Nandyose Frisbee · mariano phielipp
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Planning with Diffusion for Flexible Behavior Synthesis
Michael Janner · Yilun Du · Josh Tenenbaum · Sergey Levine
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
A Temporal-Difference Approach to Policy Gradient Estimation
Samuele Tosatto · Andrew Patterson · Martha White · A. Mahmood
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
JEON JEEWON · WOOJUN KIM · Whiyoung Jung · Youngchul Sung
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency
Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Actor-Critic based Improper Reinforcement Learning
Mohammadi Zaki · Avi Mohan · Aditya Gopalan · Shie Mannor
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
Yuanzhou Chen · Jiafan He · Quanquan Gu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #805
The Geometry of Robust Value Functions
Kaixin Wang · Navdeep Kumar · Kuangqi Zhou · Bryan Hooi · Jiashi Feng · Shie Mannor
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Denoised MDPs: Learning World Models Better Than the World Itself
Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan · Zeyang Liu · Xingyu Chen · Xuguang Lan · Nanning Zheng
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Bayesian Nonparametrics for Offline Skill Discovery
Valentin Villecroze · Harry Braviner · Panteha Naderian · Chris Maddison · Gabriel Loaiza-Ganem
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
James-Michael Leahy · Bekzhan Kerimkulov · David Siska · Lukasz Szpruch
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Curriculum Reinforcement Learning via Constrained Optimal Transport
Pascal Klink · Haoyi Yang · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Tianwei Ni · Benjamin Eysenbach · Ruslan Salakhutdinov
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
Andrea Zanette · Martin Wainwright
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Constrained Offline Policy Optimization
Nicholas Polosky · Bruno C. da Silva · Madalina Fiterau · Jithin Jagannath
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
Causal Dynamics Learning for Task-Independent State Abstraction
Zizhao Wang · Xuesu Xiao · Zifan Xu · Yuke Zhu · Peter Stone
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity
Lin Guan · Sarath Sreedharan · Subbarao Kambhampati
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo · Kimin Lee · Stephen James · Pieter Abbeel
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
Yi Wan · Ali Rahimi-Kalahroudi · Janarthanan Rajendran · Ida Momennejad · Sarath Chandar · Harm van Seijen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Delayed Reinforcement Learning by Imitation
Pierre Liotet · Davide Maran · Lorenzo Bisi · Marcello Restelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #922
Reachability Constrained Reinforcement Learning
Dongjie Yu · Haitong Ma · Shengbo Li · Jianyu Chen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
Adaptive Model Design for Markov Decision Process
Siyu Chen · Donglin Yang · Jiayang Li · Senmiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Goal Misgeneralization in Deep Reinforcement Learning
Lauro Langosco di Langosco · Jack Koch · Lee Sharkey · Jacob Pfau · David Krueger
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
A Natural Actor-Critic Framework for Zero-Sum Markov Games
Ahmet Alacaoglu · Luca Viano · Niao He · Volkan Cevher
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Distributionally Robust $Q$-Learning
Zijian Liu · Jerry Bai · Jose Blanchet · Perry Dong · Wei Xu · Zhengqing Zhou · Zhengyuan Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Sparsity in Partially Controllable Linear Systems
Yonathan Efroni · Sham Kakade · Akshay Krishnamurthy · Cyril Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Virtual #934
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Aivar Sootla · Alexander I Cowen-Rivers · Taher Jafferjee · Ziyan Wang · David Mguni · Jun Wang · Haitham Bou Ammar
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald · Mathieu Besançon · Sebastian Pokutta
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Label-Free Explainability for Unsupervised Models
Jonathan Crabbé · Mihaela van der Schaar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
Jie Ren · Mingjie Li · Meng Zhou · Shih-Han Chan · Quanshi Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
A Study of Face Obfuscation in ImageNet
Kaiyu Yang · Jacqueline Yau · Li Fei-Fei · Jia Deng · Olga Russakovsky
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Fair Representation Learning through Implicit Path Alignment
Changjian Shui · Qi CHEN · Jiaqi Li · Boyu Wang · Christian Gagne
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei · RENCHUNZI XIE · Hao Cheng · LEI FENG · Bo An · Yixuan Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Learning fair representation with a parametric integral probability metric
Dongha Kim · Kunwoong Kim · Insung Kong · Ilsang Ohn · Yongdai Kim
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong · Bo Zhao · Lingjuan Lyu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
Fair Generalized Linear Models with a Convex Penalty
Hyungrok Do · Preston Putzel · Axel Martin · Padhraic Smyth · Judy Zhong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Tight and Robust Private Mean Estimation with Few Users
Shyam Narayanan · Vahab Mirrokni · Hossein Esfandiari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning
Liping Yi · Wang Gang · Liu Xiaoguang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang · Min Lin · Xiao Yang · Jun Zhu · Shuicheng Yan
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
Sanity Simulations for Saliency Methods
Joon Kim · Gregory Plumb · Ameet Talwalkar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun · Yifei Ming · Jerry Zhu · Yixuan Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
Differentially Private Maximal Information Coefficients
John Lazarsfeld · Aaron Johnson · Emmanuel Adeniran
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Gautam Kamath · Xingtu Liu · Huanyu Zhang
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Adam Dziedzic · Nikita Dhawan · Muhammad Ahmad Kaleem · Jonas Guan · Nicolas Papernot
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Xilie Xu · Jingfeng Zhang · Feng Liu · Masashi Sugiyama · Mohan Kankanhalli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Certified Adversarial Robustness Under the Bounded Support Set
Yiwen Kou · Qinyuan Zheng · Yisen Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Predicting Out-of-Distribution Error with the Projection Norm
Yaodong Yu · Zitong Yang · Alexander Wei · Yi Ma · Jacob Steinhardt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
Xiaojun Xu · Yibo Zhang · Evelyn Ma · Hyun Ho Son · Sanmi Koyejo · Bo Li
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Improved Regret for Differentially Private Exploration in Linear MDP
Dung Ngo · Giuseppe Vietri · Steven Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
Differentially Private Community Detection for Stochastic Block Models
Mohamed Mohamed · Dung Nguyen · Anil Vullikanti · Ravi Tandon
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
xinwei zhang · Xiangyi Chen · Mingyi Hong · Steven Wu · Jinfeng Yi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Hermite Polynomial Features for Private Data Generation
Margarita Vinaroz · Mohammad-Amin Charusaie · Frederik Harder · Kamil Adamczewski · Mi Jung Park
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Mantas Mazeika · Bo Li · David Forsyth
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal · Eric Wallace · Colin Raffel
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Private frequency estimation via projective geometry
Vitaly Feldman · Jelani Nelson · Huy Nguyen · Kunal Talwar
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Faster Privacy Accounting via Evolving Discretization
Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
[ Slides [ Poster [ Paper PDF
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1015
Private Adaptive Optimization with Side information
Tian Li · Manzil Zaheer · Sashank Jakkam Reddi · Virginia Smith
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1013
Secure Quantized Training for Deep Learning
Marcel Keller · Ke Sun
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Private optimization in the interpolation regime: faster rates and hardness results
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Paul Mangold · Aurélien Bellet · Joseph Salmon · Marc Tommasi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making
Yuxuan Han · Zhicong Liang · Zhipeng Liang · Yang Wang · Yuan Yao · Jiheng Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Learning Domain Adaptive Object Detection with Probabilistic Teacher
Meilin Chen · Weijie Chen · Shicai Yang · Jie Song · Xinchao Wang · Lei Zhang · Yunfeng Yan · Donglian Qi · Yueting Zhuang · Di Xie · Shiliang Pu
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Adaptive Data Analysis with Correlated Observations
Aryeh Kontorovich · Menachem Sadigurschi · Uri Stemmer
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Efficient PAC Learning from the Crowd with Pairwise Comparisons
Shiwei Zeng · Jie Shen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
On the Statistical Benefits of Curriculum Learning
Ziping Xu · Ambuj Tewari
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Feature and Parameter Selection in Stochastic Linear Bandits
Ahmadreza Moradipari · Berkay Turan · Yasin Abbasi-Yadkori · Mahnoosh Alizadeh · Mohammad Ghavamzadeh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1112
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Zhengquan Luo · Yunlong Wang · Zilei Wang · Zhenan Sun · Tieniu Tan
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
A new similarity measure for covariate shift with applications to nonparametric regression
Reese Pathak · Cong Ma · Martin Wainwright
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Contextual Bandits with Large Action Spaces: Made Practical
Yinglun Zhu · Dylan Foster · John Langford · Paul Mineiro
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Identifiability Conditions for Domain Adaptation
Ishaan Gulrajani · Tatsunori Hashimoto
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Streaming Algorithms for High-Dimensional Robust Statistics
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
Popular decision tree algorithms are provably noise tolerant
Guy Blanc · Jane Lange · Ali Malik · Li-Yang Tan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
Lingbing Guo · Qiang Zhang · Zequn Sun · Mingyang Chen · Wei Hu · Huajun Chen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee Chen · Daniel Y Fu · Avanika Narayan · Michael Zhang · Zhao Song · Kayvon Fatahalian · Christopher Re
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju · Dongyue Li · Hongyang Zhang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Haoxiang Wang · Bo Li · Han Zhao
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
Chengchun Shi · Masatoshi Uehara · Jiawei Huang · Nan Jiang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
Chi Jin · Qinghua Liu · Tiancheng Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Abraham Frandsen · Rong Ge · Holden Lee
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
Scott Emmons · Caspar Oesterheld · Andrew Critch · Vincent Conitzer · Stuart Russell
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
Nelson Vadori · Rahul Savani · Thomas Spooner · Sumitra Ganesh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
Qinghua Liu · Yuanhao Wang · Chi Jin
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Keegan Harris · Dung Ngo · Logan Stapleton · Hoda Heidari · Steven Wu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Learning to Infer Structures of Network Games
Emanuele Rossi · Federico Monti · Yan Leng · Michael Bronstein · Xiaowen Dong
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
Pihe Hu · Yu Chen · Longbo Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1103
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Yu Bai · Chi Jin · Song Mei · Tiancheng Yu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
Chris Dann · Yishay Mansour · Mehryar Mohri · Ayush Sekhari · Karthik Sridharan
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1208
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits
Marc Jourdan · Rémy Degenne
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
On the Finite-Time Performance of the Knowledge Gradient Algorithm
Yanwen Li · Siyang Gao
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Liang Zhang · Qiang Wu · Jun Shen · Linyuan Lü · Bo Du · Jianqing Wu
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
Liam Hodgkinson · Umut Simsekli · Rajiv Khanna · Michael Mahoney
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
No-Regret Learning in Time-Varying Zero-Sum Games
Mengxiao Zhang · Peng Zhao · Haipeng Luo · Zhi-Hua Zhou
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Achieving Minimax Rates in Pool-Based Batch Active Learning
Claudio Gentile · Zhilei Wang · Tong Zhang
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
Active Multi-Task Representation Learning
Yifang Chen · Kevin Jamieson · Simon Du
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
Active fairness auditing
Tom Yan · Chicheng Zhang
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Metric-Fair Active Learning
Jie Shen · Nan Cui · Jing Wang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Metric-Fair Classifier Derandomization
Jimmy Wu · Yatong Chen · Yang Liu
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Interactively Learning Preference Constraints in Linear Bandits
David Lindner · Sebastian Tschiatschek · Katja Hofmann · Andreas Krause
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Convergence of Uncertainty Sampling for Active Learning
Anant Raj · Francis Bach
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Thompson Sampling for Robust Transfer in Multi-Task Bandits
Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Constants Matter: The Performance Gains of Active Learning
Stephen Mussmann · Sanjoy Dasgupta
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Cross-Space Active Learning on Graph Convolutional Networks
Yufei Tao · Hao WU · Shiyuan Deng
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
Generative Trees: Adversarial and Copycat
Richard Nock · Mathieu Guillame-Bert
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
A Resilient Distributed Boosting Algorithm
Yuval filmus · Idan Mehalel · Shay Moran
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
Huiwen Jia · Cong Shi · Siqian Shen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
Xiaohong Chen · Zhengling Qi
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Congested Bandits: Optimal Routing via Short-term Resets
Pranjal Awasthi · Kush Bhatia · Sreenivas Gollapudi · Kostas Kollias
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Stochastic Rising Bandits
Alberto Maria Metelli · Francesco Trovò · Matteo Pirola · Marcello Restelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Agnostic Learnability of Halfspaces via Logistic Loss
Ziwei Ji · Kwangjun Ahn · Pranjal Awasthi · Satyen Kale · Stefani Karp
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
Bruno Loureiro · Cedric Gerbelot · Maria Refinetti · Gabriele Sicuro · FLORENT KRZAKALA
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1319
PDE-Based Optimal Strategy for Unconstrained Online Learning
Zhiyu Zhang · Ashok Cutkosky · Ioannis Paschalidis
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1317
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
Jun-Kun Wang · Chi-Heng Lin · Andre Wibisono · Bin Hu
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1315
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
Soumyabrata Pal · Arya Mazumdar · Rajat Sen · Avishek Ghosh
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1309
Random Forest Density Estimation
Hongwei Wen · Hanyuan Hang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1311
The dynamics of representation learning in shallow, non-linear autoencoders
Maria Refinetti · Sebastian Goldt
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1409
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin · Asaf Maman · Nadav Cohen
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1414
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
Ramji Venkataramanan · Kevin Kögler · Marco Mondelli
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1416
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
Umberto M. Tomasini · Antonio Sclocchi · Matthieu Wyart
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1418
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
Daniel Vial · Advait Parulekar · Sanjay Shakkottai · R Srikant
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1411
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
Michael Puthawala · Matti Lassas · Ivan Dokmanic · Maarten de Hoop
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1413
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
Alexander Munteanu · Simon Omlor · Zhao Song · David Woodruff
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1420
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade
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Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1422
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew Saxe · Shagun Sodhani · Sam Lewallen
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1424
Efficient Learning of CNNs using Patch Based Features
Alon Brutzkus · Amir Globerson · Eran Malach · Alon Regev Netser · Shai Shalev-Shwartz
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1426
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
Jongmin Lee · Joo Young Choi · Ernest Ryu · Albert No
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1428
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang · Junyang Lin · Chang Zhou · Hongxia Yang · Longbo Huang
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1430
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
Sho Sonoda · Isao Ishikawa · Masahiro Ikeda
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1432
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Feix Biggs · Benjamin Guedj
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1434
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
Sebastian Lee · Stefano Sarao Mannelli · Claudia Clopath · Sebastian Goldt · Andrew Saxe
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