ICML 2023 Conference Submissions

Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective
Yulong Lu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Learning Antidote Data to Individual Unfairness
Peizhao Li, Ethan Xia, Hongfu Liu
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
A Law of Robustness beyond Isoperimetry
Yihan Wu, Heng Huang, Hongyang Zhang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Tight and fast generalization error bound of graph embedding in metric space
Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, jing wang, Feng Tian, Kenji Yamanishi
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Stratified Adversarial Robustness with Rejection
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-yi Lee, Shao-Hua Sun
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Generalization Analysis for Contrastive Representation Learning
Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations
David Wipf
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Fundamental Tradeoffs in Learning with Prior Information
Anirudha Majumdar
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
Marc Harkonen, Markus Lange-Hegermann, Bogdan Raita
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Understanding Backdoor Attacks through the Adaptability Hypothesis
Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
Yishay Mansour, Richard Nock, Robert Williamson
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
From Hypergraph Energy Functions to Hypergraph Neural Networks
Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Continual Learners are Incremental Model Generalizers
Jaehong Yoon, Sung Ju Hwang, Yue Cao
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Does a Neural Network Really Encode Symbolic Concepts?
Mingjie Li, Quanshi Zhang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
Jie ZHANG, Xiaosong Ma, Song Guo, Wenchao Xu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
Chuhan Xie, Wenhao Yang, Zhihua Zhang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Optimal Arms Identification with Knapsacks
Shaoang Li, Lan Zhang, Yingqi Yu, Xiangyang Li
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
DIVISION: Memory Efficient Training via Dual Activation Precision
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Learning to Boost Training by Periodic Nowcasting Near Future Weights
Jinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, ByungOk Han
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone