| 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 | 86 | 2021 |
| 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 | 77 | 2021 |
| 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 | 71 | 2023 |
| 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 | 70 | 2020 |
| 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 | 61 | 2024 |
| Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels C You, W Dai, F Liu, Y Min, NC Dvornek, X Li, DA Clifton, L Staib, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 48 | 2024 |
| 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 | 39 | 2021 |
| 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 | 34 | 2022 |
| 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 | 33 | 2023 |
| Learning stochastic shortest path with linear function approximation Y Min, J He, T Wang, Q Gu International Conference on Machine Learning, 15584-15629, 2022 | 33 | 2022 |
| 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 | 32 | 2022 |
| 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 | 31 | 2023 |
| 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 | 28 | 2022 |
| 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 | 8 | 2023 |
| Calibrating multi-modal representations: A pursuit of group robustness without annotations C You, Y Mint, W Dai, JS Sekhon, L Staib, JS Duncan 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2024 | 6 | 2024 |
| 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 | 6 | 2023 |
| Noise-adaptive thompson sampling for linear contextual bandits R Xu, Y Min, T Wang Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Discontinuous growth of DNA plectonemes due to atomic scale friction Y Min, PK Purohit Soft matter 14 (37), 7759-7770, 2018 | 5 | 2018 |
| Statistical Theory and Algorithms for Sequential Decision Making Y Min Yale University, 2024 | | 2024 |
| Robust Multi-modal Learning with Shifted Feature Reweighting Against Spurious Correlations C You, W Dai, Y Min, T Wen, LH Staib, J s Duncan | | |
