| Optimizing star-convex functions JCH Lee, P Valiant 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016 | 34 | 2016 |
| Optimal Sub-Gaussian Mean Estimation in JCH Lee, P Valiant 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 30 | 2022 |
| Outlier-robust sparse mean estimation for heavy-tailed distributions I Diakonikolas, D Kane, J Lee, A Pensia Advances in Neural Information Processing Systems 35, 5164-5177, 2022 | 11 | 2022 |
| Finding an approximate mode of a kernel density estimate JCH Lee, J Li, C Musco, JM Phillips, WM Tai 29th Annual European Symposium on Algorithms (ESA 2021), 2021 | 11* | 2021 |
| Predict+ Optimize for packing and covering LPs with unknown parameters in constraints X Hu, JCH Lee, JHM Lee Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 3987-3995, 2023 | 9 | 2023 |
| Branch & learn for recursively and iteratively solvable problems in Predict+ Optimize X Hu, J Lee, J Lee, AZ Zhong Advances in Neural Information Processing Systems 35, 25807-25817, 2022 | 7 | 2022 |
| High-dimensional location estimation via norm concentration for subgamma vectors S Gupta, JCH Lee, E Price International Conference on Machine Learning, 12132-12164, 2023 | 6 | 2023 |
| Finite-sample maximum likelihood estimation of location S Gupta, J Lee, E Price, P Valiant Advances in Neural Information Processing Systems 35, 30139-30149, 2022 | 6 | 2022 |
| Optimal sub-gaussian mean estimation in very high dimensions JCH Lee, P Valiant 13th Innovations in Theoretical Computer Science Conference (ITCS 2022), 2022 | 6 | 2022 |
| Uncertainty about uncertainty: Optimal adaptive algorithms for estimating mixtures of unknown coins JCH Lee, P Valiant SODA 2021, 2021 | 6* | 2021 |
| Finite-sample symmetric mean estimation with fisher information rate S Gupta, JCH Lee, E Price The Thirty Sixth Annual Conference on Learning Theory, 4777-4830, 2023 | 5 | 2023 |
| Towards practical infinite stream constraint programming: Applications and implementation JCH Lee, JHM Lee International Conference on Principles and Practice of Constraint …, 2014 | 5 | 2014 |
| Quantifying and reducing bias in maximum likelihood estimation of structured anomalies U Chitra, K Ding, JCH Lee, BJ Raphael International Conference on Machine Learning, 1908-1919, 2021 | 4 | 2021 |
| Branch & Learn with Post-hoc Correction for Predict+ Optimize with Unknown Parameters in Constraints X Hu, JCH Lee, JHM Lee International Conference on Integration of Constraint Programming …, 2023 | 3 | 2023 |
| Minimax-Optimal Location Estimation S Gupta, J Lee, E Price, P Valiant Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Augmenting stream constraint programming with eventuality conditions JCH Lee, JHM Lee, AZ Zhong Principles and Practice of Constraint Programming: 24th International …, 2018 | 1 | 2018 |
| Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond Moments T Dang, J Lee, MR Song, P Valiant Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| A spectral algorithm for list-decodable covariance estimation in relative frobenius norm I Diakonikolas, D Kane, J Lee, A Pensia, T Pittas Advances in Neural Information Processing Systems 36, 48819-48854, 2023 | | 2023 |
| Two-Stage Predict+ Optimize for MILPs with Unknown Parameters in Constraints HU Xinyi, JCH Lee, JHM Lee Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| Classic and Modern Challenges in Statistical Estimation CHJ Lee Brown University, 2021 | | 2021 |
Paul ValiantAssociate Professor of Computer Science, Purdue University在 purdue.edu 的电子邮件经过验证
