| What causes the test error? going beyond bias-variance via anova L Lin, E Dobriban Journal of Machine Learning Research 22 (155), 1-82, 2021 | 39 | 2021 |
| Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining L Lin, Y Bai, S Mei arXiv preprint arXiv:2310.08566, 2023 | 13 | 2023 |
| Plug-in Performative Optimization L Lin, T Zrnic arXiv preprint arXiv:2305.18728, 2023 | 4 | 2023 |
| Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models M Celentano, Z Fan, L Lin, S Mei arXiv preprint arXiv:2311.08442, 2023 | 3 | 2023 |
| Semi-parametric inference based on adaptively collected data L Lin, K Khamaru, MJ Wainwright arXiv preprint arXiv:2303.02534, 2023 | 2 | 2023 |
| Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control T Ahn, L Lin, S Mei arXiv preprint arXiv:2211.02778, 2022 | 2 | 2022 |
| Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning R Zhang, L Lin, Y Bai, S Mei arXiv preprint arXiv:2404.05868, 2024 | 1 | 2024 |
| Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference L Lin, M Ying, S Ghosh, K Khamaru, CH Zhang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
