Yifei Min

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Medical Image Segmentation

Function Approximation

Reinforcement Learning

Top Venues

Publications

Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CoRR (2024)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. IPMI (2023)
Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. ICLR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. MICCAI (4) (2023)
Ruitu Xu, Yifei Min, Tianhao Wang
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits. NeurIPS (2023)
Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. AISTATS (2023)
Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning. CoRR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. NeurIPS (2023)
Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. CoRR (2023)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. ICML (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. MICCAI (3) (2023)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. CoRR (2023)
Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. CoRR (2022)
Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. CoRR (2022)
Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. CoRR (2022)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Learning Stochastic Shortest Path with Linear Function Approximation. ICML (2022)
Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. NeurIPS (2022)
Jiafan He, Tianhao Wang, Yifei Min, Quanquan Gu
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits. NeurIPS (2022)
Yifei Min, Tianhao Wang, Dongruo Zhou, Quanquan Gu
Variance-Aware Off-Policy Evaluation with Linear Function Approximation. NeurIPS (2021)
Yifei Min, Tianhao Wang, Dongruo Zhou, Quanquan Gu
Variance-Aware Off-Policy Evaluation with Linear Function Approximation. CoRR (2021)
Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi
Multiple Descent: Design Your Own Generalization Curve. NeurIPS (2021)
Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu
Learning Stochastic Shortest Path with Linear Function Approximation. CoRR (2021)
Yifei Min, Lin Chen, Amin Karbasi
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization. UAI (2021)
Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models. ICML (2020)
Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi
Multiple Descent: Design Your Own Generalization Curve. CoRR (2020)
Yifei Min, Lin Chen, Amin Karbasi
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization. CoRR (2020)
Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models. CoRR (2020)