Min, Yifei

13 publications

CVPR 2024 Calibrating Multi-Modal Representations: A Pursuit of Group Robustness Without Annotations Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence Staib, James S. Duncan

ICML 2023 Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu

AISTATS 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang

NeurIPS 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits Ruitu Xu, Yifei Min, Tianhao Wang

ICLR 2023 Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang

NeurIPS 2023 Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David Clifton, S. Kevin Zhou, Lawrence Staib, James Duncan

NeurIPS 2022 A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu

NeurIPS 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

ICML 2022 Learning Stochastic Shortest Path with Linear Function Approximation Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu

NeurIPS 2021 Multiple Descent: Design Your Own Generalization Curve Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi

UAI 2021 The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min, Lin Chen, Amin Karbasi

NeurIPS 2021 Variance-Aware Off-Policy Evaluation with Linear Function Approximation Yifei Min, Tianhao Wang, Dongruo Zhou, Quanquan Gu

ICML 2020 More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi