Baby, Dheeraj

15 publications

ICML 2025 AKORN: Adaptive Knots Generated Online for RegressioN Splines Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang

AISTATS 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yu-Xiang Wang

ICML 2025 Adaptive Estimation and Learning Under Temporal Distribution Shift Dheeraj Baby, Yifei Tang, Hieu Duy Nguyen, Yu-Xiang Wang, Rohit Pyati

NeurIPS 2024 Online Feature Updates Improve Online (Generalized) Label Shift Adaptation Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger

ICML 2024 Online Matrix Completion: A Collaborative Approach with Hott Items Dheeraj Baby, Soumyabrata Pal

COLT 2023 Near Optimal Heteroscedastic Regression with Symbiotic Learning Aniket Das, Dheeraj M. Nagaraj, Praneeth Netrapalli, Dheeraj Baby

TMLR 2023 Non-Stationary Contextual Pricing with Safety Constraints Dheeraj Baby, Jianyu Xu, Yu-Xiang Wang

NeurIPS 2023 Online Label Shift: Optimal Dynamic Regret Meets Practical Algorithms Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Lipton, Yu-Xiang Wang

AISTATS 2023 Second Order Path Variationals in Non-Stationary Online Learning Dheeraj Baby, Yu-Xiang Wang

AISTATS 2022 Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond Dheeraj Baby, Yu-Xiang Wang

NeurIPS 2022 Optimal Dynamic Regret in LQR Control Dheeraj Baby, Yu-Xiang Wang

AISTATS 2021 An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang

COLT 2021 Optimal Dynamic Regret in Exp-Concave Online Learning Dheeraj Baby, Yu-Xiang Wang

NeurIPS 2020 Adaptive Online Estimation of Piecewise Polynomial Trends Dheeraj Baby, Yu-Xiang Wang

NeurIPS 2019 Online Forecasting of Total-Variation-Bounded Sequences Dheeraj Baby, Yu-Xiang Wang