| Optimal dynamic regret in exp-concave online learning D Baby, YX Wang Conference on Learning Theory, 359-409, 2021 | 38 | 2021 |
| Online forecasting of total-variation-bounded sequences D Baby, YX Wang Advances in Neural Information Processing Systems 32, 2019 | 38 | 2019 |
| Optimal dynamic regret in proper online learning with strongly convex losses and beyond D Baby, YX Wang International Conference on Artificial Intelligence and Statistics, 1805-1845, 2022 | 25 | 2022 |
| Optimal dynamic regret in LQR control D Baby, YX Wang Advances in Neural Information Processing Systems 35, 24879-24892, 2022 | 13 | 2022 |
| Adaptive online estimation of piecewise polynomial trends D Baby, YX Wang Advances in Neural Information Processing Systems 33, 20462-20472, 2020 | 12 | 2020 |
| An optimal reduction of tv-denoising to adaptive online learning D Baby, X Zhao, YX Wang International Conference on Artificial Intelligence and Statistics, 2899-2907, 2021 | 9 | 2021 |
| Online label shift: Optimal dynamic regret meets practical algorithms D Baby, S Garg, TC Yen, S Balakrishnan, Z Lipton, YX Wang Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Initial-state and next-state value folding JR Baumgartner, RL Kanzelman, PK NALLA, RK Gajavelly, D BABY US Patent US10621297B1, 2020 | 4 | 2020 |
| Second order path variationals in non-stationary online learning D Baby, YX Wang International Conference on Artificial Intelligence and Statistics, 9024-9075, 2023 | 3 | 2023 |
| Near optimal heteroscedastic regression with symbiotic learning A Das, DM Nagaraj, P Netrapalli, D Baby The Thirty Sixth Annual Conference on Learning Theory, 3696-3757, 2023 | 2 | 2023 |
| Non-stationary contextual pricing with safety constraints D Baby, J Xu, YX Wang | 1 | 2023 |
| Online Feature Updates Improve Online (Generalized) Label Shift Adaptation R Wu, S Datta, Y Su, D Baby, YX Wang, KQ Weinberger arXiv preprint arXiv:2402.03545, 2024 | | 2024 |
| Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR D Baby, H Hasson, Y Wang arXiv preprint arXiv:2111.11550, 2021 | | 2021 |
| Revisiting dynamic regret of strongly adaptive methods D Baby, H Hasson, B Wang | | 2021 |
| Supplementary Material for: An Optimal Reduction of TV-Denoising to Adaptive Online Learning D Baby, X Zhao, YX Wang | | |
Yu-Xiang WangAssociate Professor of Computer Science, UC Santa Barbaracs.ucsb.edu의 이메일 확인됨
