Optimal dynamic regret in exp-concave online learning D Baby, YX Wang Conference on Learning Theory, 359-409, 2021 | 44 | 2021 |
Online forecasting of total-variation-bounded sequences D Baby, YX Wang Advances in Neural Information Processing Systems 32, 2019 | 41 | 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 | 30 | 2022 |
Optimal dynamic regret in LQR control D Baby, YX Wang Advances in Neural Information Processing Systems 35, 24879-24892, 2022 | 14 | 2022 |
Adaptive online estimation of piecewise polynomial trends D Baby, YX Wang Advances in Neural Information Processing Systems 33, 20462-20472, 2020 | 13 | 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 | 12 | 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 | 7 | 2024 |
Second order path variationals in non-stationary online learning D Baby, YX Wang International Conference on Artificial Intelligence and Statistics, 9024-9075, 2023 | 5 | 2023 |
Initial-state and next-state value folding JR Baumgartner, RL Kanzelman, PK NALLA, RK Gajavelly, D BABY US Patent US10621297B1, 2020 | 4 | 2020 |
Dynamic regret for strongly adaptive methods and optimality of online krr D Baby, H Hasson, Y Wang arXiv preprint arXiv:2111.11550, 2021 | 3 | 2021 |
Non-stationary contextual pricing with safety constraints D Baby, J Xu, YX Wang | 2 | 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 |
Online Matrix Completion: A Collaborative Approach with Hott Items D Baby, S Pal arXiv preprint arXiv:2408.05843, 2024 | | 2024 |
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 |
Adaptive Algorithms for Dynamic Decision-Making: Bridging Online Learning and Non-Parametric Regression D Baby University of California, Santa Barbara, 2024 | | 2024 |
Revisiting dynamic regret of strongly adaptive methods D Baby, H Hasson, YB Wang | | 2021 |
Supplementary Material for: An Optimal Reduction of TV-Denoising to Adaptive Online Learning D Baby, X Zhao, YX Wang | | |