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Yifei Min
Yifei Min
Department of Statistics and Data Science, Yale University
Verified email at yale.edu
Title
Cited by
Cited by
Year
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization
Y Min, L Chen, A Karbasi
Uncertainty in Artificial Intelligence, 129-139, 2021
692021
Multiple descent: Design your own generalization curve
L Chen, Y Min, M Belkin, A Karbasi
Advances in Neural Information Processing Systems 34, 8898-8912, 2021
682021
More data can expand the generalization gap between adversarially robust and standard models
L Chen, Y Min, M Zhang, A Karbasi
International Conference on Machine Learning, 1670-1680, 2020
652020
Bootstrapping semi-supervised medical image segmentation with anatomical-aware contrastive distillation
C You, W Dai, Y Min, L Staib, JS Duncan
International conference on information processing in medical imaging, 641-653, 2023
442023
Variance-aware off-policy evaluation with linear function approximation
Y Min, T Wang, D Zhou, Q Gu
Advances in neural information processing systems 34, 7598-7610, 2021
352021
Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels
C You, W Dai, F Liu, Y Min, H Su, X Zhang, X Li, DA Clifton, L Staib, ...
arXiv preprint arXiv:2209.13476, 2022
332022
Learning stochastic shortest path with linear function approximation
Y Min, J He, T Wang, Q Gu
International Conference on Machine Learning, 15584-15629, 2022
302022
Rethinking semi-supervised medical image segmentation: A variance-reduction perspective
C You, W Dai, Y Min, F Liu, D Clifton, SK Zhou, L Staib, J Duncan
Advances in Neural Information Processing Systems 36, 2024
282024
A simple and provably efficient algorithm for asynchronous federated contextual linear bandits
J He, T Wang, Y Min, Q Gu
Advances in neural information processing systems 35, 4762-4775, 2022
282022
Pessimism in the face of confounders: Provably efficient offline reinforcement learning in partially observable markov decision processes
M Lu, Y Min, Z Wang, Z Yang
arXiv preprint arXiv:2205.13589, 2022
202022
Learn to match with no regret: Reinforcement learning in markov matching markets
Y Min, T Wang, R Xu, Z Wang, M Jordan, Z Yang
Advances in Neural Information Processing Systems 35, 19956-19970, 2022
182022
Implicit anatomical rendering for medical image segmentation with stochastic experts
C You, W Dai, Y Min, L Staib, JS Duncan
International Conference on Medical Image Computing and Computer-Assisted …, 2023
122023
Action++: improving semi-supervised medical image segmentation with adaptive anatomical contrast
C You, W Dai, Y Min, L Staib, J Sekhon, JS Duncan
International Conference on Medical Image Computing and Computer-Assisted …, 2023
122023
Discontinuous growth of DNA plectonemes due to atomic scale friction
Y Min, PK Purohit
Soft matter 14 (37), 7759-7770, 2018
52018
Finding regularized competitive equilibria of heterogeneous agent macroeconomic models via reinforcement learning
R Xu, Y Min, T Wang, MI Jordan, Z Wang, Z Yang
International Conference on Artificial Intelligence and Statistics, 375-407, 2023
42023
Cooperative multi-agent reinforcement learning: Asynchronous communication and linear function approximation
Y Min, J He, T Wang, Q Gu
International Conference on Machine Learning, 24785-24811, 2023
32023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
R Xu, Y Min, T Wang
Advances in Neural Information Processing Systems 36, 2024
12024
Multi-agent reinforcement learning: Asynchronous communication and linear function approximation
Y Min, J He, T Wang, Q Gu
arXiv preprint arXiv:2305.06446, 2023
12023
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
C You, Y Min, W Dai, JS Sekhon, L Staib, JS Duncan
arXiv preprint arXiv:2403.07241, 2024
2024
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