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Dheeraj Baby
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2020 – today
- 2024
- [c10]Dheeraj Baby, Soumyabrata Pal:
Online Matrix Completion: A Collaborative Approach with Hott Items. ICML 2024 - [i12]Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger:
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. CoRR abs/2402.03545 (2024) - [i11]Dheeraj Baby, Soumyabrata Pal:
Online Matrix Completion: A Collaborative Approach with Hott Items. CoRR abs/2408.05843 (2024) - 2023
- [b1]Dheeraj Baby:
Adaptive Algorithms for Dynamic Decision-Making: Bridging Online Learning and Non-Parametric Regression. University of California, Santa Barbara, USA, 2023 - [j1]Dheeraj Baby, Jianyu Xu, Yu-Xiang Wang:
Non-Stationary Contextual Pricing with Safety Constraints. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Dheeraj Baby, Yu-Xiang Wang:
Second Order Path Variationals in Non-Stationary Online Learning. AISTATS 2023: 9024-9075 - [c8]Aniket Das, Dheeraj M. Nagaraj, Praneeth Netrapalli, Dheeraj Baby:
Near Optimal Heteroscedastic Regression with Symbiotic Learning. COLT 2023: 3696-3757 - [c7]Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary C. Lipton, Yu-Xiang Wang:
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. NeurIPS 2023 - [i10]Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Chase Lipton, Yu-Xiang Wang:
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. CoRR abs/2305.19570 (2023) - [i9]Dheeraj Baby, Aniket Das, Dheeraj Nagaraj, Praneeth Netrapalli:
Near Optimal Heteroscedastic Regression with Symbiotic Learning. CoRR abs/2306.14288 (2023) - 2022
- [c6]Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. AISTATS 2022: 1805-1845 - [c5]Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in LQR Control. NeurIPS 2022 - [i8]Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. CoRR abs/2201.08905 (2022) - [i7]Dheeraj Baby, Yu-Xiang Wang:
Second Order Path Variationals in Non-Stationary Online Learning. CoRR abs/2205.01921 (2022) - [i6]Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in LQR Control. CoRR abs/2206.09257 (2022) - 2021
- [c4]Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang:
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. AISTATS 2021: 2899-2907 - [c3]Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in Exp-Concave Online Learning. COLT 2021: 359-409 - [i5]Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang:
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. CoRR abs/2101.09438 (2021) - [i4]Dheeraj Baby, Yu-Xiang Wang:
Optimal Dynamic Regret in Exp-Concave Online Learning. CoRR abs/2104.11824 (2021) - [i3]Dheeraj Baby, Hilaf Hasson, Yuyang Wang:
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR. CoRR abs/2111.11550 (2021) - 2020
- [c2]Dheeraj Baby, Yu-Xiang Wang:
Adaptive Online Estimation of Piecewise Polynomial Trends. NeurIPS 2020 - [i2]Dheeraj Baby, Yu-Xiang Wang:
Adaptive Online Estimation of Piecewise Polynomial Trends. CoRR abs/2010.00073 (2020)
2010 – 2019
- 2019
- [c1]Dheeraj Baby, Yu-Xiang Wang:
Online Forecasting of Total-Variation-bounded Sequences. NeurIPS 2019: 11069-11079 - [i1]Dheeraj Baby, Yu-Xiang Wang:
Online Forecasting of Total-Variation-bounded Sequences. CoRR abs/1906.03364 (2019)
Coauthor Index
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last updated on 2025-01-09 13:15 CET by the dblp team
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