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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #100
DNA: Domain Generalization with Diversified Neural Averaging
Xu Chu · Yujie Jin · Wenwu Zhu · Yasha Wang · Xin Wang · Shanghang Zhang · Hong Mei
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #102
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu · Jiahui Lei · Edgar Dobriban · Kostas Daniilidis
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #104
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang · Wenhao Jiang · Yiming Zhu · Li Yuan · Yibing Song · Wei Liu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #106
Channel Importance Matters in Few-Shot Image Classification
Xu Luo · Jing Xu · ZENGLIN Xu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #108
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Rame · Corentin Dancette · Matthieu Cord
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #231
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Shiran Zada · Itay Benou · Michal Irani
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #110
Certified Robustness Against Natural Language Attacks by Causal Intervention
Haiteng Zhao · Chang Ma · Xinshuai Dong · Anh Tuan Luu · Zhi-Hong Deng · Hanwang Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #112
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
He Bai · Renjie Zheng · Junkun Chen · Mingbo Ma · Xintong Li · Liang Huang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #114
On the Learning of Non-Autoregressive Transformers
Fei Huang · Tianhua Tao · Hao Zhou · Lei Li · Minlie Huang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #116
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
Peiyu Yu · Sirui Xie · Xiaojian Ma · Baoxiong Jia · Bo Pang · Ruiqi Gao · Yixin Zhu · Song-Chun Zhu · Ying Nian Wu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #118
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan · Maziar Sanjabi · Lambert Mathias · Liang Tan · Shaoliang Nie · Xiaochang Peng · Xiang Ren · Hamed Firooz
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #120
Black-Box Tuning for Language-Model-as-a-Service
Tianxiang Sun · Yunfan Shao · Hong Qian · Xuanjing Huang · Xipeng Qiu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #122
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Kawin Ethayarajh · Yejin Choi · Swabha Swayamdipta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #124
Co-training Improves Prompt-based Learning for Large Language Models
Hunter Lang · Monica Agrawal · Yoon Kim · David Sontag
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #126
Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Fei Huang · Hao Zhou · Yang Liu · Hang Li · Minlie Huang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #128
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Liska · Tomas Kocisky · Elena Gribovskaya · Tayfun Terzi · Eren Sezener · Devang Agrawal · Cyprien de Masson d'Autume · Tim Scholtes · Manzil Zaheer · Susannah Young · Ellen Gilsenan-McMahon · Sophia Austin · Phil Blunsom · Angeliki Lazaridou
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #133
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Valentin Hofmann · Janet Pierrehumbert · Hinrich Schütze
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #131
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier · Thomas Scialom · Antoine Chaffin · Vincent Claveau · Ewa Kijak · Jacopo Staiano · Benjamin Piwowarski
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #129
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?
Thomas Wang · Adam Roberts · Daniel Hesslow · Teven Le Scao · Hyung Won Chung · Iz Beltagy · Julien Launay · Colin Raffel
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #127
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Yifan Peng · Siddharth Dalmia · Ian Lane · Shinji Watanabe
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #125
Robust Group Synchronization via Quadratic Programming
Yunpeng Shi · Cole Wyeth · Gilad Lerman
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #123
UAST: Uncertainty-Aware Siamese Tracking
Dawei Zhang · Yanwei Fu · Zhonglong Zheng
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #119
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han · Pengfei Fang · Weihao Li · Jie Hong · Mohammad Ali Armin · Ian Reid · Lars Petersson · HONGDONG LI
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #117
Generative Modeling for Multi-task Visual Learning
Zhipeng Bao · Martial Hebert · Yu-Xiong Wang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #115
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
Andrey Zhmoginov · Mark Sandler · Maksym Vladymyrov
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #113
Parametric Visual Program Induction with Function Modularization
Xuguang Duan · Xin Wang · Ziwei Zhang · Wenwu Zhu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #111
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #109
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Teng Wang · Wenhao Jiang · Zhichao Lu · Feng Zheng · Ran Cheng · chengguo yin · Ping Luo
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #107
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
Peihao Wang · Zhiwen Fan · Tianlong Chen · Zhangyang “Atlas” Wang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #105
Time Is MattEr: Temporal Self-supervision for Video Transformers
Sukmin Yun · Jaehyung Kim · Dongyoon Han · Hwanjun Song · Jung-Woo Ha · Jinwoo Shin
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #208
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Jiawei Ren · Liang Pan · Ziwei Liu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #210
Understanding The Robustness in Vision Transformers
Zhou Daquan · Zhiding Yu · Enze Xie · Chaowei Xiao · Animashree Anandkumar · Jiashi Feng · Jose M. Alvarez
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #212
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Fan Yin · Jieying Jiao · Jun Yan · Guanyu Hu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #214
On the Effects of Artificial Data Modification
Antonia Marcu · Adam Prugel-Bennett
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #216
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage
Alan J.X. Guo · Cong Liang · Qing-Hu Hou
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #218
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa · Boris van Breugel · Evgeny S. Saveliev · Mihaela van der Schaar
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #220
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Giorgia Dellaferrera · Gabriel Kreiman
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #222
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
Akhilan Boopathy · Ila R. Fiete
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #226
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong · Charlie Snell · Dan Klein · Jacob Steinhardt
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #228
Distinguishing rule- and exemplar-based generalization in learning systems
Ishita Dasgupta · Erin Grant · Thomas Griffiths
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #230
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning
Cristiano Capone · Cosimo Lupo · Paolo Muratore · Pier Stanislao Paolucci
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #232
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Lukas Wolf · Ard Kastrati · Martyna Plomecka · Jieming Li · Dustin Klebe · Alexander Veicht · Roger Wattenhofer · Nicolas Langer
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #234
Minimizing Control for Credit Assignment with Strong Feedback
Alexander Meulemans · Matilde Tristany Farinha · Maria Cervera · João Sacramento · Benjamin F. Grewe
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #236
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech
Aditya Vaidya · Shailee Jain · Alexander Huth
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #237
Towards Scaling Difference Target Propagation by Learning Backprop Targets
Maxence ERNOULT · Fabrice Normandin · Abhinav Moudgil · Sean Spinney · Eugene Belilovsky · Irina Rish · Blake Richards · Yoshua Bengio
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #235
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold
Sugandha Sharma · Sarthak Chandra · Ila R. Fiete
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #233
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Florian Tramer
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #229
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
Haoran You · Baopu Li · Shi Huihong · Yonggan Fu · Yingyan Lin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #227
Provably Adversarially Robust Nearest Prototype Classifiers
Václav Voráček · Matthias Hein
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #225
Certifying Out-of-Domain Generalization for Blackbox Functions
Maurice Weber · Linyi Li · Boxin Wang · · Bo Li · Ce Zhang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #223
Intriguing Properties of Input-Dependent Randomized Smoothing
Peter Súkeník · Aleksei Kuvshinov · Stephan Günnemann
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #221
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei · Hangyu Liu · Tongliang Liu · Gang Niu · Masashi Sugiyama · Yang Liu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #219
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce · Sven Gowal · Thomas Brunner · Evan Shelhamer · Matthias Hein · Taylan Cemgil
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #217
On the Generalization Analysis of Adversarial Learning
Waleed Mustafa · Yunwen Lei · Marius Kloft
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #215
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin · Zachary Golan-Strieb · David Wagner
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #213
Double Sampling Randomized Smoothing
Linyi Li · Jiawei Zhang · Tao Xie · Bo Li
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #211
TPC: Transformation-Specific Smoothing for Point Cloud Models
Wenda Chu · Linyi Li · Bo Li
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #209
Structural Entropy Guided Graph Hierarchical Pooling
Junran Wu · Xueyuan Chen · Ke Xu · Shangzhe Li
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #207
Self-Supervised Representation Learning via Latent Graph Prediction
Yaochen Xie · Zhao Xu · Shuiwang Ji
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #205
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
Shiyong Lan · Yitong Ma · Weikang Huang · Wenwu Wang · Hongyu Yang · pyang li
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #203
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen · Xuxi Chen · Xiaolong Ma · Yanzhi Wang · Zhangyang “Atlas” Wang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #201
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang · Shenda Hong
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #300
Analyzing and Mitigating Interference in Neural Architecture Search
Jin Xu · Xu Tan · Kaitao Song · Renqian Luo · Yichong Leng · Tao Qin · Tie-Yan Liu · Jian Li
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #302
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees
Darshan Thaker · Paris Giampouras · Rene Vidal
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #304
Unified Scaling Laws for Routed Language Models
Aidan Clark · Diego de Las Casas · Aurelia Guy · Arthur Mensch · Michela Paganini · Jordan Hoffmann · Bogdan Damoc · Blake Hechtman · Trevor Cai · Sebastian Borgeaud · George van den Driessche · Eliza Rutherford · Tom Hennigan · Matthew Johnson · Albin Cassirer · Chris Jones · Elena Buchatskaya · David Budden · Laurent Sifre · Simon Osindero · Oriol Vinyals · Marc'Aurelio Ranzato · Jack Rae · Erich Elsen · Koray Kavukcuoglu · Karen Simonyan
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #306
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks
Zhuang Wang · Zhaozhuo Xu · Xinyu Wu · Anshumali Shrivastava · T. S. Eugene Ng
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #308
A deep convolutional neural network that is invariant to time rescaling
Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #310
LyaNet: A Lyapunov Framework for Training Neural ODEs
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #312
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
Mark Collier · Rodolphe Jenatton · Efi Kokiopoulou · Jesse Berent
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #314
On Collective Robustness of Bagging Against Data Poisoning
Ruoxin Chen · Zenan Li · Jie Li · Junchi Yan · Chentao Wu
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #316
Hindering Adversarial Attacks with Implicit Neural Representations
Andrei A Rusu · Dan Andrei Calian · Sven Gowal · Raia Hadsell
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #318
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
HeeSun Bae · Seungjae Shin · Byeonghu Na · JoonHo Jang · Kyungwoo Song · IL CHUL MOON
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #320
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang · Jing Wu · Yu-Kun Lai · Yipeng Qin
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #322
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Chenlin Meng · Linqi Zhou · Kristy Choi · Tri Dao · Stefano Ermon
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #324
Controlling Conditional Language Models without Catastrophic Forgetting
Tomasz Korbak · Hady Elsahar · Germán Kruszewski · Marc Dymetman
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #326
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alexander Nichol · Prafulla Dhariwal · Aditya Ramesh · Pranav Shyam · Pamela Mishkin · Bob McGrew · Ilya Sutskever · Mark Chen
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #328
Structure-preserving GANs
Jeremiah Birrell · Markos Katsoulakis · Luc Rey-Bellet · Wei Zhu
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #330
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari · Conglong Li · Zhewei Yao · Minjia Zhang · Reza Yazdani Aminabadi · Ammar Ahmad Awan · Jeff Rasley · Yuxiong He
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #332
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao · Chongxuan Li · Jiacheng Sun · Jun Zhu · Bo Zhang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #334
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom · Victor Garcia Satorras · Clément Vignac · Max Welling
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #336
Forward Operator Estimation in Generative Models with Kernel Transfer Operators
Zhichun Huang · Rudrasis Chakraborty · Vikas Singh
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #338
Conditional GANs with Auxiliary Discriminative Classifier
Liang Hou · Qi Cao · Huawei Shen · Siyuan Pan · Xiaoshuang Li · Xueqi Cheng
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #337
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
Rakshith Subramanyam · Vivek Narayanaswamy · Mark Naufel · Andreas Spanias · Jayaraman J. Thiagarajan
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #335
Matching Normalizing Flows and Probability Paths on Manifolds
Heli Ben-Hamu · samuel cohen · Joey Bose · Brandon Amos · Maximilian Nickel · Aditya Grover · Ricky T. Q. Chen · Yaron Lipman
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #333
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization
Hanjun Dai · Mengjiao Yang · Yuan Xue · Dale Schuurmans · Bo Dai
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #331
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization
Xiang Gao · Yuqi Zhang · Yingjie Tian
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #329
Region-Based Semantic Factorization in GANs
Jiapeng Zhu · Yujun Shen · Yinghao Xu · Deli Zhao · Qifeng Chen
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #327
Online Continual Learning through Mutual Information Maximization
Yiduo Guo · Bing Liu · Dongyan Zhao
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #325
Learning Iterative Reasoning through Energy Minimization
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #323
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
Yonggan Fu · Haichuan Yang · Jiayi Yuan · Meng Li · Cheng Wan · Raghuraman Krishnamoorthi · Vikas Chandra · Yingyan Lin
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #321
PoF: Post-Training of Feature Extractor for Improving Generalization
Ikuro Sato · Yamada Ryota · Masayuki Tanaka · Nakamasa Inoue · Rei Kawakami
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #319
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
Giung Nam · Hyungi Lee · Byeongho Heo · Juho Lee
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #317
Set Based Stochastic Subsampling
Bruno Andreis · Seanie Lee · A. Tuan Nguyen · Juho Lee · Eunho Yang · Sung Ju Hwang
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #315
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao · Beidi Chen · Nimit Sohoni · Arjun Desai · Michael Poli · Jessica Grogan · Alexander Liu · Aniruddh Rao · Atri Rudra · Christopher Re
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #313
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Matthieu Kirchmeyer · Yuan Yin · Jérémie DONA · Nicolas Baskiotis · alain rakotomamonjy · Patrick Gallinari
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #311
Self-conditioning Pre-Trained Language Models
Xavier Suau · Luca Zappella · Nicholas Apostoloff
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #309
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jaeyun Song · Joonhyung Park · Eunho Yang
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #307
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
Jaehong Yoon · Geon Park · Wonyong Jeong · Sung Ju Hwang
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #305
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
Yang Zhao · Hao Zhang · Xiuyuan Hu
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #303
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Rajarshi Das · Ameya Godbole · Ankita Rajaram Naik · Elliot Tower · Manzil Zaheer · Hannaneh Hajishirzi · Robin Jia · Andrew McCallum
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #301
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
Dixian Zhu · Gang Li · Bokun Wang · Xiaodong Wu · Tianbao Yang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #400
pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof · Eldad Haber · Eran Treister
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #402
Graph-Coupled Oscillator Networks
T. Konstantin Rusch · Ben Chamberlain · James Rowbottom · Siddhartha Mishra · Michael Bronstein
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #404
HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li · Jianan Zhao · Chaozhuo Li · Di He · Yiqi Wang · Yuming Liu · Hao Sun · Senzhang Wang · Weiwei Deng · Yanming Shen · Xing Xie · Qi Zhang
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Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #406
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Siqi Miao · Mia Liu · Pan Li
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Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #408
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia · Lirong Wu · Wang Ge · Jintao Chen · Stan Z. Li
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #410
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Mingjie Li · Xiaojun Guo · Yifei Wang · Yisen Wang · Zhouchen Lin
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #412
SpeqNets: Sparsity-aware permutation-equivariant graph networks
Christopher Morris · Gaurav Rattan · Sandra Kiefer · Siamak Ravanbakhsh
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #414
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski · Wei-Ning Hsu · Qiantong Xu · Arun Babu · Jiatao Gu · Michael Auli
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #416
Position Prediction as an Effective Pretraining Strategy
Shuangfei Zhai · Navdeep Jaitly · Jason Ramapuram · Dan Busbridge · Tatiana Likhomanenko · Joseph Cheng · Walter Talbott · Chen Huang · Hanlin Goh · Joshua M Susskind
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #418
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Ekdeep Singh Lubana · Chi Ian Tang · Fahim Kawsar · Robert Dick · Akhil Mathur
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #420
Deep and Flexible Graph Neural Architecture Search
Wentao Zhang · Zheyu Lin · Yu Shen · Yang Li · Zhi Yang · Bin Cui
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #422
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Yixuan He · Quan Gan · David Wipf · Gesine Reinert · Junchi Yan · Mihai Cucuringu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #424
Large-Scale Graph Neural Architecture Search
Chaoyu Guan · Xin Wang · Hong Chen · Ziwei Zhang · Wenwu Zhu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #426
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen · Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #428
Prototype Based Classification from Hierarchy to Fairness
Mycal Tucker · Julie Shah
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #432
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu · Mikhail Galkin · Zuobai Zhang · Jian Tang
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #434
Deep Probability Estimation
Sheng Liu · Aakash Kaku · Weicheng Zhu · Matan Leibovich · Sreyas Mohan · Boyang Yu · Haoxiang Huang · Laure Zanna · Narges Razavian · Jonathan Niles-Weed · Carlos Fernandez-Granda
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #436
Uncertainty Modeling in Generative Compressed Sensing
Yilang Zhang · Mengchu Xu · Xiaojun Mao · Jian Wang
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #438
Going Deeper into Permutation-Sensitive Graph Neural Networks
Zhongyu Huang · Yingheng Wang · Chaozhuo Li · Huiguang He
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #439
Learning from Counterfactual Links for Link Prediction
Tong Zhao · Gang Liu · Daheng Wang · Wenhao Yu · Meng Jiang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #437
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator
Ting-Han Fan · Ta-Chung Chi · Alexander Rudnicky · Peter Ramadge
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #435
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
Michael Zhang · Nimit Sohoni · Hongyang Zhang · Chelsea Finn · Christopher Re
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #433
Principal Component Flows
Edmond Cunningham · Adam Cobb · Susmit Jha
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #431
Bit Prioritization in Variational Autoencoders via Progressive Coding
Rui Shu · Stefano Ermon
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #429
Generative Flow Networks for Discrete Probabilistic Modeling
Dinghuai Zhang · Nikolay Malkin · Zhen Liu · Alexandra Volokhova · Aaron Courville · Yoshua Bengio
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #427
Diffusion bridges vector quantized variational autoencoders
Max Cohen · Guillaume QUISPE · Sylvain Le Corff · Charles Ollion · Eric Moulines
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #425
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
Adrián Javaloy · Maryam Meghdadi · Isabel Valera
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #423
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim · Seungjae Shin · Kyungwoo Song · Wanmo Kang · IL CHUL MOON
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #421
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
Ruize Gao · Jiongxiao Wang · Kaiwen Zhou · Feng Liu · Binghui Xie · Gang Niu · Bo Han · James Cheng
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #419
Modeling Irregular Time Series with Continuous Recurrent Units
Mona Schirmer · Mazin Eltayeb · Stefan Lessmann · Maja Rudolph
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #417
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin · Étienne Marcotte · Nicolas Chapados
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #415
CerDEQ: Certifiable Deep Equilibrium Model
Mingjie Li · Yisen Wang · Zhouchen Lin
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #413
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Rui Wang · Robin Walters · Rose Yu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #411
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
Tian Gao · DEBARUN BHATTACHARJYA · Elliot Nelson · Miao Liu · Yue Yu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #409
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Zhongkai Hao · Chengyang Ying · Yinpeng Dong · Hang Su · Jian Song · Jun Zhu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #407
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #405
Improving Language Models by Retrieving from Trillions of Tokens
Sebastian Borgeaud · Arthur Mensch · Jordan Hoffmann · Trevor Cai · Eliza Rutherford · Katie Millican · George van den Driessche · Jean-Baptiste Lespiau · Bogdan Damoc · Aidan Clark · Diego de Las Casas · Aurelia Guy · Jacob Menick · Roman Ring · Tom Hennigan · Saffron Huang · Loren Maggiore · Chris Jones · Albin Cassirer · Andy Brock · Michela Paganini · Geoffrey Irving · Oriol Vinyals · Simon Osindero · Karen Simonyan · Jack Rae · Erich Elsen · Laurent Sifre
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #403
Closed-Form Diffeomorphic Transformations for Time Series Alignment
Iñigo Martinez · Elisabeth Viles · Igor G. Olaizola
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #401
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang · Aston Zhang · Shuai Zheng · Xingjian Shi · Mu Li · Zhangyang “Atlas” Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #500
Forget-free Continual Learning with Winning Subnetworks
Haeyong Kang · Rusty Mina · Sultan Rizky Hikmawan Madjid · Jaehong Yoon · Mark Hasegawa-Johnson · Sung Ju Hwang · Chang Yoo
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #502
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou · Ziqing MA · Qingsong Wen · Xue Wang · Liang Sun · rong jin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #504
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers
Francesco Croce · Matthias Hein
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #506
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels · Mattia Segù · Tao Sun · Luca Daniel Sieber · Luc Van Gool · Fisher Yu · Federico Tombari
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #508
Combining Diverse Feature Priors
Saachi Jain · Dimitris Tsipras · Aleksander Madry
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #510
Multi-Task Learning as a Bargaining Game
Aviv Navon · Aviv Shamsian · Idan Achituve · Haggai Maron · Kenji Kawaguchi · Gal Chechik · Ethan Fetaya
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #512
Frustratingly Easy Transferability Estimation
Long-Kai Huang · Junzhou Huang · Yu Rong · Qiang Yang · Ying WEI
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #514
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Tung Nguyen · Aditya Grover
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #516
A Difference Standardization Method for Mutual Transfer Learning
Haoqing Xu · Meng Wang · Beilun Wang
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #518
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Zhenyi Wang · Li Shen · Le Fang · Qiuling Suo · Tiehang Duan · Mingchen Gao
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #520
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
Michinari Momma · Chaosheng Dong · Jia Liu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #522
Sparse Invariant Risk Minimization
Xiao Zhou · Yong LIN · Weizhong Zhang · Tong Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #524
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci · Vincent Dumoulin · Hugo Larochelle · Michael Mozer
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #526
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani · Sumukh K Aithal · Mayank Mishra · Arihant Jain · Venkatesh Babu Radhakrishnan
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #528
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu · Akshay Kulkarni · Suvaansh Bhambri · Deepesh Mehta · Shreyas Kulkarni · Varun Jampani · Venkatesh Babu Radhakrishnan
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
Xiao Zhou · Yong LIN · Renjie Pi · Weizhong Zhang · Renzhe Xu · Peng Cui · Tong Zhang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #532
Zero-shot AutoML with Pretrained Models
Ekrem Öztürk · Fabio Ferreira · Hadi S Jomaa · Lars Schmidt-Thieme · Josif Grabocka · Frank Hutter
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #534
Efficient Variance Reduction for Meta-learning
Hansi Yang · James Kwok
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #536
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Tiexin QIN · Shiqi Wang · Haoliang Li
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #538
Partial disentanglement for domain adaptation
Lingjing Kong · Shaoan Xie · Weiran Yao · Yujia Zheng · Guangyi Chen · Petar Stojanov · Victor Akinwande · Kun Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #539
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Guillaume Braun · Hemant Tyagi · Christophe Biernacki
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #537
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Zhengfeng Lai · Chao Wang · Henrry Gunawan · Senching Cheung · Chen-Nee Chuah
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #535
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
Lan-Zhe Guo · Yu-Feng Li
[ Slides
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #533
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Samuel Stanton · Wesley Maddox · Nate Gruver · Phillip Maffettone · Emily Delaney · Peyton Greenside · Andrew Wilson
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #529
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Parnian Kassraie · Jonas Rothfuss · Andreas Krause
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #527
A Tighter Analysis of Spectral Clustering, and Beyond
Peter Macgregor · He Sun
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #525
Online Active Regression
Cheng Chen · Yi Li · Yiming Sun
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #523
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
Qi Lyu · Xiao Fu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #521
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Ching-Yun (Irene) Ko · Jeet Mohapatra · Sijia Liu · Pin-Yu Chen · Luca Daniel · Lily Weng
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #519
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Hongxin Wei · Lue Tao · RENCHUNZI XIE · LEI FENG · Bo An
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #517
Confidence Score for Source-Free Unsupervised Domain Adaptation
Jonghyun Lee · Dahuin Jung · Junho Yim · Sungroh Yoon
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #515
Gradient Based Clustering
Aleksandar Armacki · Dragana Bajovic · Dusan Jakovetic · Soummya Kar
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Global Optimization of K-Center Clustering
Mingfei Shi · Kaixun Hua · Jiayang Ren · Yankai Cao
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #511
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
Chen Qiu · Aodong Li · Marius Kloft · Maja Rudolph · Stephan Mandt
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #509
Coordinated Double Machine Learning
Nitai Fingerhut · Matteo Sesia · Yaniv Romano
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #507
Exploiting Independent Instruments: Identification and Distribution Generalization
Sorawit Saengkyongam · Leonard Henckel · Niklas Pfister · Jonas Peters
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #505
Partial Counterfactual Identification from Observational and Experimental Data
Junzhe Zhang · Jin Tian · Elias Bareinboim
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #503
On Measuring Causal Contributions via do-interventions
Yonghan Jung · Shiva Kasiviswanathan · Jin Tian · Dominik Janzing · Patrick Bloebaum · Elias Bareinboim
[ Slides [ Poster [ Paper PDF
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #501
The Role of Deconfounding in Meta-learning
Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #600
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe · Sara Magliacane · Sindy Löwe · Yuki Asano · Taco Cohen · Stratis Gavves
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #602
Online Balanced Experimental Design
David Arbour · Drew Dimmery · Tung Mai · Anup Rao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #604
Minimum Cost Intervention Design for Causal Effect Identification
Sina Akbari · Jalal Etesami · Negar Kiyavash
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #606
Causal structure-based root cause analysis of outliers
Kailash Budhathoki · Lenon Minorics · Patrick Bloebaum · Dominik Janzing
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #608
Instrumental Variable Regression with Confounder Balancing
Anpeng Wu · Kun Kuang · Bo Li · Fei Wu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #610
Causal Transformer for Estimating Counterfactual Outcomes
Valentyn Melnychuk · Dennis Frauen · Stefan Feuerriegel
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #612
Causal Inference Through the Structural Causal Marginal Problem
Luigi Gresele · Julius von Kügelgen · Jonas Kübler · Elke Kirschbaum · Bernhard Schölkopf · Dominik Janzing
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #614
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
Heiner Kremer · Jia-Jie Zhu · Krikamol Muandet · Bernhard Schölkopf
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #616
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti · Gowtham Reddy Abbavaram · Vineeth N Balasubramanian · Amit Sharma
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #618
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
Sascha Xu · Osman Ali Mian · Alexander Marx · Jilles Vreeken
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #620
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
Jisun Park · Ernest Ryu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
Aaron Mishkin · Arda Sahiner · Mert Pilanci
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #624
NysADMM: faster composite convex optimization via low-rank approximation
Shipu Zhao · Zachary Frangella · Madeleine Udell
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #626
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
Anis Elgabli · Chaouki Ben Issaid · Amrit Singh Bedi · Ketan Rajawat · Mehdi Bennis · Vaneet Aggarwal
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #628
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner · Tolga Ergen · Batu M Ozturkler · John Pauly · Morteza Mardani · Mert Pilanci
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #630
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
Kazuma Tsuji · Ken'ichiro Tanaka · Sebastian Pokutta
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #632
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
Jaewook Suh · Gyumin Roh · Ernest Ryu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #634
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
LEONARDO CUNHA · Gauthier Gidel · Fabian Pedregosa · Damien Scieur · Courtney Paquette
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #636
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Vladimir Kostic · Saverio Salzo · Massimiliano Pontil
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #638
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Baojian Zhou · Yifan Sun
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #639
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time
Burak Bartan · Mert Pilanci
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #637
Active Sampling for Min-Max Fairness
Jacob Abernethy · Pranjal Awasthi · Matthäus Kleindessner · Jamie Morgenstern · Chris Russell · Jie Zhang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #635
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
Sixing Yu · Arya Mazaheri · Ali Jannesari
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #633
Stochastic Reweighted Gradient Descent
Ayoub El Hanchi · David Stephens · Chris Maddison
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #631
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
Qiujiang Jin · Alec Koppel · Ketan Rajawat · Aryan Mokhtari
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #629
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Anastasios Angelopoulos · Amit Pal Kohli · Stephen Bates · Michael Jordan · Jitendra Malik · Thayer Alshaabi · Srigokul Upadhyayula · Yaniv Romano
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #627
FedNL: Making Newton-Type Methods Applicable to Federated Learning
Mher Safaryan · Rustem Islamov · Xun Qian · Peter Richtarik
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #625
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
Jiali Wang · Wen Huang · Rujun Jiang · Xudong Li · Alex Wang
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #623
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization
Dongruo Zhou · Quanquan Gu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #621
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy Gao · Jane J. Ye · Haian Yin · Shangzhi Zeng · Jin Zhang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #619
Probabilistic Bilevel Coreset Selection
Xiao Zhou · Renjie Pi · Weizhong Zhang · Yong LIN · Zonghao Chen · Tong Zhang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #617
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Meyer Scetbon · Gabriel Peyré · Marco Cuturi
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #615
On Implicit Bias in Overparameterized Bilevel Optimization
Paul Vicol · Jonathan Lorraine · Fabian Pedregosa · David Duvenaud · Roger Grosse
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #613
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
Jingzhao Zhang · Haochuan Li · Suvrit Sra · Ali Jadbabaie
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #611
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Peng Wang · Huikang Liu · Anthony Man-Cho So · Laura Balzano
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #609
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity
Huan Li · Zhouchen Lin
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #607
Understanding the unstable convergence of gradient descent
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #605
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
PRANAY SHARMA · Rohan Panda · Gauri Joshi · Pramod K Varshney
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #603
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Pini Zilber · Boaz Nadler
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #601
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh · Mingchen Li · Christos Thrampoulidis · Samet Oymak
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #700
AdaGrad Avoids Saddle Points
Kimon Antonakopoulos · Panayotis Mertikopoulos · Georgios Piliouras · Xiao Wang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #702
Fast and Provable Nonconvex Tensor RPCA
Haiquan Qiu · Yao Wang · Shaojie Tang · Deyu Meng · QUANMING YAO
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #704
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
Haochuan Li · Farzan Farnia · Subhro Das · Ali Jadbabaie
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #706
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
Kevin Scaman · Cedric Malherbe · Ludovic DOS SANTOS
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #708
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
Songtao Lu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #710
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto · Hans Kersting · Frank Proske · Francis Bach · Aurelien Lucchi
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #712
Tackling covariate shift with node-based Bayesian neural networks
Trung Trinh · Markus Heinonen · Luigi Acerbi · Samuel Kaski
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #714
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Changwoo Lee · Huiyan Sang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #716
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
Chau Tran · Guo Yu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #718
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Lukas Köhs · Bastian Alt · Heinz Koeppl
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #720
Calibrated Learning to Defer with One-vs-All Classifiers
Rajeev Verma · Eric Nalisnick
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #722
Tractable Uncertainty for Structure Learning
Benjie Wang · Matthew Wicker · Marta Kwiatkowska
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #724
Path-Gradient Estimators for Continuous Normalizing Flows
Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #726
Variational Feature Pyramid Networks
PANAGIOTIS DIMITRAKOPOULOS · Giorgos Sfikas · CHRISTOPHOROS NIKOU
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #728
Additive Gaussian Processes Revisited
Xiaoyu Lu · Alexis Boukouvalas · James Hensman
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #732
Probabilistic ODE Solutions in Millions of Dimensions
Nicholas Krämer · Nathanael Bosch · Jonathan Schmidt · Philipp Hennig
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #734
Adaptive Gaussian Process Change Point Detection
Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #736
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Gregory Benton · Wesley Maddox · Andrew Wilson
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #738
Fenrir: Physics-Enhanced Regression for Initial Value Problems
Filip Tronarp · Nathanael Bosch · Philipp Hennig
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #739
Variational nearest neighbor Gaussian process
Luhuan Wu · Geoff Pleiss · John Cunningham
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #737
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #735
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Jixiang Qing · Tom Dhaene · Ivo Couckuyt
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #733
Bayesian Optimization under Stochastic Delayed Feedback
Arun Verma · Zhongxiang Dai · Bryan Kian Hsiang Low
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #731
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Yu Inatsu · Shion Takeno · Masayuki Karasuyama · Ichiro Takeuchi
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #729
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
Sebastian Tay · Chuan Sheng Foo · Urano Daisuke · Richalynn Leong · Bryan Kian Hsiang Low
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #727
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Sattar Vakili · Jonathan Scarlett · Da-shan Shiu · Alberto Bernacchia
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #725
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
Sebastian Ament · Carla Gomes
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #723
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #721
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
Lorenz Richter · Julius Berner
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #719
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
Ruilin Li · Hongyuan Zha · Molei Tao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #717
LSB: Local Self-Balancing MCMC in Discrete Spaces
EMANUELE SANSONE
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #715
A Langevin-like Sampler for Discrete Distributions
Ruqi Zhang · Xingchao Liu · Qiang Liu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #713
Scalable Spike-and-Slab
Niloy Biswas · Lester Mackey · Xiao-Li Meng
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #711
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak · Fabian Zaiser · Luke Ong
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #709
Continual Repeated Annealed Flow Transport Monte Carlo
Alexander Matthews · Michael Arbel · Danilo J. Rezende · Arnaud Doucet
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #707
Algorithms for the Communication of Samples
Lucas Theis · Noureldin Yosri Yehia Ahmed
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #705
Low-Precision Stochastic Gradient Langevin Dynamics
Ruqi Zhang · Andrew Wilson · Christopher De Sa
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #703
Fast Relative Entropy Coding with A* coding
Gergely Flamich · Stratis Markou · Jose Miguel Hernandez-Lobato
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #701
Accurate Quantization of Measures via Interacting Particle-based Optimization
Lantian Xu · Anna Korba · Dejan Slepcev
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #800
Dynamic Regret of Online Markov Decision Processes
Peng Zhao · Long-Fei Li · Zhi-Hua Zhou
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #802
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Robert Loftin · Frans Oliehoek
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #804
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
Harley Wiltzer · David Meger · Marc Bellemare
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #806
Provable Reinforcement Learning with a Short-Term Memory
Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #808
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
Lucas N. Alegre · Ana Lucia Cetertich Bazzan · Bruno C. da Silva
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #810
Mirror Learning: A Unifying Framework of Policy Optimisation
Jakub Grudzien Kuba · Christian Schroeder de Witt · Jakob Foerster
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #812
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
Liyu Chen · Rahul Jain · Haipeng Luo
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #814
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
Liyu Chen · Rahul Jain · Haipeng Luo
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #816
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning
Archit Sharma · Rehaan Ahmad · Chelsea Finn
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #818
Langevin Monte Carlo for Contextual Bandits
Pan Xu · Hongkai Zheng · Eric Mazumdar · Kamyar Azizzadenesheli · Animashree Anandkumar
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #820
Prompting Decision Transformer for Few-Shot Policy Generalization
Mengdi Xu · Yikang Shen · Shun Zhang · Yuchen Lu · Ding Zhao · Josh Tenenbaum · Chuang Gan
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #822
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Shuang Qiu · Lingxiao Wang · Chenjia Bai · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #824
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
Xiaoyu Chen · Han Zhong · Zhuoran Yang · Zhaoran Wang · Liwei Wang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #826
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
Vihang Patil · Markus Hofmarcher · Marius-Constantin Dinu · Matthias Dorfer · Patrick Blies · Johannes Brandstetter · Jose A. Arjona-Medina · Sepp Hochreiter
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #828
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
Brandon Trabucco · mariano phielipp · Glen Berseth
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #830
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng · Ingook Jang · Sungjin Ahn
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #832
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin · Philip Ball · Stephen Roberts · Oya Celiktutan
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #834
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau · Jinke He · Matthijs T. J. Spaan · Frans Oliehoek
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #836
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Yao Mu · Shoufa Chen · Mingyu Ding · Jianyu Chen · Runjian Chen · Ping Luo
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #838
Offline RL Policies Should Be Trained to be Adaptive
Dibya Ghosh · Anurag Ajay · Pulkit Agrawal · Sergey Levine
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #837
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
Katie Kang · Paula Gradu · Jason Choi · Michael Janner · Claire Tomlin · Sergey Levine
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #835
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Pengyi Li · Hongyao Tang · Tianpei Yang · Xiaotian Hao · Tong Sang · Yan Zheng · Jianye Hao · Matthew Taylor · Wenyuan Tao · Zhen Wang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #833
Supervised Off-Policy Ranking
Yue Jin · Yue Zhang · Tao Qin · Xudong Zhang · Jian Yuan · Houqiang Li · Tie-Yan Liu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #829
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin · Max Schwarzer · Pierluca D'Oro · Pierre-Luc Bacon · Aaron Courville
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #827
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
Shentao Yang · Yihao Feng · Shujian Zhang · Mingyuan Zhou
[ Slides [ Poster [ Paper PDF
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #825
Model-Free Opponent Shaping
Christopher Lu · Timon Willi · Christian Schroeder de Witt · Jakob Foerster
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #823
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Boxiang Lyu · Zhaoran Wang · Mladen Kolar · Zhuoran Yang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #821
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Pier Giuseppe Sessa · Maryam Kamgarpour · Andreas Krause
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #819
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
Kyunghwan Son · Junsu Kim · Sungsoo Ahn · Roben Delos Reyes · Yung Yi · Jinwoo Shin
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #817
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
Mathieu Lauriere · Sarah Perrin · Sertan Girgin · Paul Muller · Ayush Jain · Theophile Cabannes · Georgios Piliouras · Julien Perolat · Romuald Elie · Olivier Pietquin · Matthieu Geist
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #815
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu · Chao Yu · Zelai Xu · Jiaqi Yang · Yi Wu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #813
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Dongsheng Ding · Chen-Yu Wei · Kaiqing Zhang · Mihailo Jovanovic
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #811
Self-Organized Polynomial-Time Coordination Graphs
Qianlan Yang · Weijun Dong · Zhizhou Ren · Jianhao Wang · Tonghan Wang · Chongjie Zhang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #809
Individual Reward Assisted Multi-Agent Reinforcement Learning
Li Wang · Yupeng Zhang · Yujing Hu · Weixun Wang · Chongjie Zhang · Yang Gao · Jianye Hao · Tangjie Lv · Changjie Fan
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #807
Generalized Beliefs for Cooperative AI
Darius Muglich · Luisa Zintgraf · Christian Schroeder de Witt · Shimon Whiteson · Jakob Foerster
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) #805
Greedy when Sure and Conservative when Uncertain about the Opponents
Haobo Fu · Ye Tian · Hongxiang Yu · Weiming Liu · Shuang Wu · Jiechao Xiong · Ying Wen · Kai Li · Junliang Xing · Qiang Fu · Wei Yang
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #803
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning
Jiahui Li · Kun Kuang · Baoxiang Wang · Furui Liu · Long Chen · Changjie Fan · Fei Wu · Jun Xiao
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #801
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
ZHIHAN LIU · Lu Miao · Zhaoran Wang · Michael Jordan · Zhuoran Yang
[ Slides
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #900
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Siqi Liu · Marc Lanctot · Luke Marris · Nicolas Heess
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #902
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen · Yi Zhou · Rong-Rong Chen · Shaofeng Zou
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #904
Differentially Private Approximate Quantiles
Haim Kaplan · Shachar Schnapp · Uri Stemmer
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #906
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
Xueru Zhang · Mohammad Mahdi Khalili · Kun Jin · Parinaz Naghizadeh · Mingyan Liu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #908
Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang · Matt Fredrikson · Anupam Datta
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #910
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
Sooyong Jang · Sangdon Park · Insup Lee · Osbert Bastani
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #912
A Joint Exponential Mechanism For Differentially Private Top-$k$
Jennifer Gillenwater · Matthew Joseph · andres munoz · Monica Ribero Diaz
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #914
Transfer Learning In Differential Privacy's Hybrid-Model
Refael Kohen · Or Sheffet
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #916
Robust Kernel Density Estimation with Median-of-Means principle
Pierre Humbert · Batiste Le Bars · Ludovic Minvielle
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #918
Bounding Training Data Reconstruction in Private (Deep) Learning
Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #920
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Lukas Struppek · Dominik Hintersdorf · Antonio De Almeida Correia · Antonia Adler · Kristian Kersting
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #922
FriendlyCore: Practical Differentially Private Aggregation
Eliad Tsfadia · Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #924
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
Sangwon Kim · Jaeyeal Nam · Byoung Chul Ko
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #926
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #928
Public Data-Assisted Mirror Descent for Private Model Training
Ehsan Amid · Arun Ganesh · Rajiv Mathews · Swaroop Ramaswamy · Shuang Song · Thomas Steinke · Thomas Steinke · Vinith Suriyakumar · Om Thakkar · Abhradeep Guha Thakurta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #930
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
Eunsang Lee · Joon-Woo Lee · Junghyun Lee · Young-Sik KIM · Yongjune Kim · Jong-Seon No · Woosuk Choi
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #932
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev · Bristena Oprisanu · Emiliano De Cristofaro
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #934
Meaningfully debugging model mistakes using conceptual counterfactual explanations
Abubakar Abid · Mert Yuksekgonul · James Zou
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #936
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Jinkun Lin · Anqi Zhang · Mathias Lécuyer · Jinyang Li · Aurojit Panda · Siddhartha Sen
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #929
Robust Counterfactual Explanations for Tree-Based Ensembles
Sanghamitra Dutta · Jason Long · Saumitra Mishra · Cecilia Tilli · Daniele Magazzeni
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #927
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
Daniel Lundstrom · Tianjian Huang · Meisam Razaviyayn
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #923
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Micah Carroll · Anca Dragan · Stuart Russell · Dylan Hadfield-Menell
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #921
Framework for Evaluating Faithfulness of Local Explanations
Sanjoy Dasgupta · Nave Frost · Michal Moshkovitz
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #919
A Consistent and Efficient Evaluation Strategy for Attribution Methods
Yao Rong · Tobias Leemann · Vadim Borisov · Gjergji Kasneci · Enkelejda Kasneci
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #915
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
Stephan Wäldchen · Sebastian Pokutta · Felix Huber
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #913
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
Michael Hedderich · Jonas Fischer · Dietrich Klakow · Jilles Vreeken
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #911
XAI for Transformers: Better Explanations through Conservative Propagation
Ameen Ali · Thomas Schnake · Oliver Eberle · Grégoire Montavon · Klaus-robert Mueller · Lior Wolf
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #909
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding
Haotian Ma · Hao Zhang · Fan Zhou · Yinqing Zhang · Quanshi Zhang
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #907
Interpretable Off-Policy Learning via Hyperbox Search
Daniel Tschernutter · Tobias Hatt · Stefan Feuerriegel
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #905
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
Yaojie Hu · Jin Tian
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #903
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo · Amir Karimi · Bernhard Schölkopf
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1002
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder · Oana-Maria Camburu · Thomas Lukasiewicz · Julian McAuley
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1004
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming · Ying Fan · Yixuan Li
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1006
Selective Network Linearization for Efficient Private Inference
Minsu Cho · Ameya Joshi · Brandon Reagen · Siddharth Garg · Chinmay Hegde
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1008
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
Ping Xiong · Thomas Schnake · Grégoire Montavon · Klaus-robert Mueller · Shinichi Nakajima
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1010
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
Renzhe Xu · Xingxuan Zhang · Zheyan Shen · Tong Zhang · Peng Cui
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1012
Modular Conformal Calibration
Charles Marx · Shengjia Zhao · Willie Neiswanger · Stefano Ermon
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1014
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao · Ilia Shumailov · Kassem Fawaz
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1018
Context-Aware Drift Detection
Oliver Cobb · Arnaud Van Looveren
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1020
Accelerating Shapley Explanation via Contributive Cooperator Selection
Guanchu Wang · Yu-Neng Chuang · Mengnan Du · Fan Yang · Quan Zhou · Pushkar Tripathi · Xuanting Cai · Xia Hu
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1022
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
Sadegh Farhadkhani · Rachid Guerraoui · Lê-Nguyên Hoang · Oscar Villemaud
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1026
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
Zhaoxuan Wu · Yao Shu · Bryan Kian Hsiang Low
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1028
Sample Efficient Learning of Predictors that Complement Humans
Mohammad-Amin Charusaie · Hussein Mozannar · David Sontag · Samira Samadi
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1027
Online Learning for Min Sum Set Cover and Pandora’s Box
Evangelia Gergatsouli · Christos Tzamos
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1025
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
Vidyashankar Sivakumar · Shiliang Zuo · Arindam Banerjee
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1023
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback
Fang Kong · Yichi Zhou · Shuai Li
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1021
Thompson Sampling for (Combinatorial) Pure Exploration
Siwei Wang · Jun Zhu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1019
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness
Shinji Ito
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1017
Rotting Infinitely Many-Armed Bandits
Jung-hun Kim · Milan Vojnovic · Se-Young Yun
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1015
Batched Dueling Bandits
Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1013
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Weiming Liu · Huacong Jiang · Bin Li · Houqiang Li
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1011
Consistent Polyhedral Surrogates for Top-k Classification and Variants
Anish Thilagar · Rafael Frongillo · Jessie Finocchiaro · Emma Goodwill
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1009
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models
Viktor Bengs · Aadirupa Saha · Eyke Hüllermeier
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1007
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
Aadirupa Saha · Shubham Gupta
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1001
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Tianyi Lin · Aldo Pacchiano · Yaodong Yu · Michael Jordan
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1003
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen · H. Vincent Poor
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1106
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances
Vincent Cohen-Addad · Vahab Mirrokni · Peilin Zhong
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1108
Residual-Based Sampling for Online Outlier-Robust PCA
Tianhao Zhu · Jie Shen
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1110
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1112
Streaming Algorithms for Support-Aware Histograms
Justin Chen · Piotr Indyk · Tal Wagner
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1114
Power-Law Escape Rate of SGD
Takashi Mori · Liu Ziyin · Kangqiao Liu · Masahito Ueda
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1116
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model
Heejong Bong · Alessandro Rinaldo
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Faster Algorithms for Learning Convex Functions
Ali Siahkamari · Durmus Alp Emre Acar · Christopher Liao · Kelly Geyer · Venkatesh Saligrama · Brian Kulis
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1120
Feature selection using e-values
Subhabrata Majumdar · Snigdhansu Chatterjee
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1122
ActiveHedge: Hedge meets Active Learning
Bhuvesh Kumar · Jacob Abernethy · Venkatesh Saligrama
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1124
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
Aravind Reddy · Ryan A. Rossi · Zhao Song · Anup Rao · Tung Mai · Nedim Lipka · Gang Wu · Eunyee Koh · Nesreen K Ahmed
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1126
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
Malik TIOMOKO · Ekkehard Schnoor · Mohamed El Amine Seddik · Igor Colin · Aladin Virmaux
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1125
Robustness Implies Generalization via Data-Dependent Generalization Bounds
Kenji Kawaguchi · Zhun Deng · Kyle Luh · Jiaoyang Huang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1123
Learning to Hash Robustly, Guaranteed
Alexandr Andoni · Daniel Beaglehole
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1121
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang · Shaofeng Zou
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1119
A query-optimal algorithm for finding counterfactuals
Guy Blanc · Caleb Koch · Jane Lange · Li-Yang Tan
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1117
Linear Bandit Algorithms with Sublinear Time Complexity
Shuo Yang · Tongzheng Ren · Sanjay Shakkottai · Eric Price · Inderjit Dhillon · Sujay Sanghavi
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1115
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Nadiia Chepurko · Kenneth Clarkson · Lior Horesh · Honghao Lin · David Woodruff
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1113
Individual Preference Stability for Clustering
Saba Ahmadi · Pranjal Awasthi · Samir Khuller · Matthäus Kleindessner · Jamie Morgenstern · Pattara Sukprasert · Ali Vakilian
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1111
Correlated Quantization for Distributed Mean Estimation and Optimization
Ananda Suresh · Ziteng Sun · Jae Ro · Felix Xinnan Yu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1109
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
Xuchuang Wang · Hong Xie · John C. S. Lui
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1107
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1101
The Algebraic Path Problem for Graph Metrics
Enrique Fita Sanmartín · Sebastian Damrich · Fred Hamprecht
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Virtual #1103
Steerable 3D Spherical Neurons
Pavlo Melnyk · Michael Felsberg · Mårten Wadenbäck
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1206
H-Consistency Bounds for Surrogate Loss Minimizers
Pranjal Awasthi · Anqi Mao · Mehryar Mohri · Yutao Zhong
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1208
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Nikos Zarifis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1210
The Teaching Dimension of Regularized Kernel Learners
Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1212
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Adarsh Barik · Jean Honorio
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1214
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
Yi Hao · Ayush Jain · Alon Orlitsky · Vaishakh Ravindrakumar
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1216
Multiclass learning with margin: exponential rates with no bias-variance trade-off
Stefano Vigogna · Giacomo Meanti · Ernesto De Vito · Lorenzo Rosasco
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1218
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
Tudor Manole · Nhat Ho
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1220
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Shaojie Li · Yong Liu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1222
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
Emmanuel Abbe · Elisabetta Cornacchia · Jan Hazla · Christopher Marquis
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1224
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Benjamin Edelman · Surbhi Goel · Sham Kakade · Cyril Zhang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1221
Topology-aware Generalization of Decentralized SGD
Tongtian Zhu · Fengxiang He · Lan Zhang · Zhengyang Niu · Mingli Song · Dacheng Tao
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1219
Understanding Gradient Descent on the Edge of Stability in Deep Learning
Sanjeev Arora · Zhiyuan Li · Abhishek Panigrahi
[ Slides [ Poster [ Paper PDF
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1217
Cooperative Online Learning in Stochastic and Adversarial MDPs
Tal Lancewicki · Aviv Rosenberg · Yishay Mansour
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1215
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Christopher Tosh · Daniel Hsu
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1213
Being Properly Improper
Tyler Sypherd · Richard Nock · Lalitha Sankar
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1211
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks
Franco Pellegrini · Giulio Biroli
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1207
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
Lai Tian · Kaiwen Zhou · Anthony Man-Cho So
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1209
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
Tianhao Wu · Yunchang Yang · Han Zhong · Liwei Wang · Simon Du · Jiantao Jiao
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1310
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
Yinglun Zhu · Paul Mineiro
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1312
Minimax M-estimation under Adversarial Contamination
Sujay Bhatt · Guanhua Fang · Ping Li · Gennady Samorodnitsky
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1314
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
Jiatai Huang · Yan Dai · Longbo Huang
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1316
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
Daniel Rosenkrantz · Abhijin Adiga · Madhav Marathe · Zirou Qiu · S. S. Ravi · Richard Stearns · Anil Vullikanti
[ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1318
Boosting Graph Structure Learning with Dummy Nodes
Xin Liu · Jiayang Cheng · Yangqiu Song · Xin Jiang
[ Slides [ Poster
Poster
Tue Jul 19 03:30 PM -- 05:30 PM (PDT) @ Hall E #1320
Lazy Estimation of Variable Importance for Large Neural Networks
Yue Gao · Abby Stevens · Garvesh Raskutti · Rebecca Willett
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
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
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
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
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
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
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
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
[ Slides [ Poster [ Paper PDF
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
[ Slides [ Poster
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
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
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
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
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
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
[ Slides [ Poster
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
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
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
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
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
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
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
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
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
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
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
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 #224
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
Ye Jia · Michelle Tadmor Ramanovich · Tal Remez · Roi Pomerantz
[ Slides [ Poster
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
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
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
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
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
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
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
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
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
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
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
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
[ Slides [ Poster
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
[ Slides
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #530
Deep Causal Metric Learning
Xiang Deng · Zhongfei Zhang
[ Poster
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
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
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
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
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
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
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
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
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
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
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
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #513
Stable Conformal Prediction Sets
Eugene Ndiaye
[ Poster
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
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
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
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
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
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
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
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #622
Role-based Multiplex Network Embedding
Hegui Zhang · Gang Kou
[ Slides
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 · Miro 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
[ Slides [ Poster
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) #1013
Secure Quantized Training for Deep Learning
Marcel Keller · Ke Sun
[ Slides [ Poster
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
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
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
[ Slides [ Poster
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
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
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
[ Slides [ Poster
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
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
Poster
Wed Jul 20 03:30 PM -- 05:30 PM (PDT) @ Hall E #1118
Identifiability Conditions for Domain Adaptation
Ishaan Gulrajani · Tatsunori Hashimoto
[ Poster
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
[ Slides [ Poster
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
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
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
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
In