ICML 2023 Conference Submissions

Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Lei Shi, Jingshen Wang, Tianhao Wu
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Tianjiao Nicole Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Towards Understanding Ensemble Distillation in Federated Learning
Sejun Park, Kihun Hong, Ganguk Hwang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Improved Algorithms for White-Box Adversarial Streams
Ying Feng, David Woodruff
- Published: 24 Apr 2023, Last Modified: 27 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Towards Trustworthy Explanation: On Causal Rationalization
Wenbo Zhang, TONG WU, Yunlong Wang, Yong Cai, Hengrui Cai
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Distributional Offline Policy Evaluation with Predictive Error Guarantees
Runzhe Wu, Masatoshi Uehara, Wen Sun
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
MODeL: Memory Optimizations for Deep Learning
Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, JUN ZHOU
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Learning Mixtures of Markov Chains and MDPs
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Loss Balancing for Fair Supervised Learning
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
Yanbo Dai, Songze Li
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Generative Adversarial Symmetry Discovery
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
RLSbench: Domain Adaptation Under Relaxed Label Shift
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Mixture Proportion Estimation Beyond Irreducibility
Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
Jamil Arbas, Hassan Ashtiani, Christopher Liaw
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Behavior Contrastive Learning for Unsupervised Skill Discovery
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
Qinglong Tian, Xin Zhang, Jiwei Zhao
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone