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Dheeraj Baby
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Online forecasting of total-variation-bounded sequences
D Baby, YX Wang
Advances in Neural Information Processing Systems 32, 2019
242019
Optimal dynamic regret in exp-concave online learning
D Baby, YX Wang
Conference on Learning Theory, 359-409, 2021
132021
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
72022
Adaptive online estimation of piecewise polynomial trends
D Baby, YX Wang
Advances in Neural Information Processing Systems 33, 20462-20472, 2020
62020
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
42021
Initial-state and next-state value folding
JR Baumgartner, RL Kanzelman, PK NALLA, RK Gajavelly, D BABY
US Patent US10621297B1, 2020
42020
Optimal Dynamic Regret in LQR Control
D Baby, YX Wang
arXiv preprint arXiv:2206.09257, 2022
22022
Second Order Path Variationals in Non-Stationary Online Learning
D Baby, YX Wang
arXiv preprint arXiv:2205.01921, 2022
2022
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR
D Baby, H Hasson, Y Wang
arXiv preprint arXiv:2111.11550, 2021
2021
Non-Stationary Contextual Pricing with Safety Con-straints
D Baby, J Xu, YX Wang
Revisiting Dynamic Regret of Strongly Adaptive Methods
D Baby, H Hasson, B Wang
Supplementary Material for: An Optimal Reduction of TV-Denoising to Adaptive Online Learning
D Baby, X Zhao, YX Wang
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학술자료 1–12