Online Forecasting of Total-Variation-bounded Sequences. - Dheeraj Baby; Yu-Xiang Wang 003 (NeurIPS, 2019)

Adaptive Online Estimation of Piecewise Polynomial Trends. - Dheeraj Baby; Yu-Xiang Wang 003 (NeurIPS, 2020)

An Optimal Reduction of TV-Denoising to Adaptive Online Learning. - Dheeraj Baby; Xuandong Zhao; Yu-Xiang Wang 003 (AISTATS, 2021)

Optimal Dynamic Regret in Exp-Concave Online Learning. - Dheeraj Baby; Yu-Xiang Wang 003 (COLT, 2021)

Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR. - Dheeraj Baby; Hilaf Hasson; Yuyang Wang 001 (CoRR, 2021)

Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. - Dheeraj Baby; Yu-Xiang Wang 003 (AISTATS, 2022)

Optimal Dynamic Regret in LQR Control. - Dheeraj Baby; Yu-Xiang Wang 003 (NeurIPS, 2022)

Second Order Path Variationals in Non-Stationary Online Learning. - Dheeraj Baby; Yu-Xiang Wang 003 (AISTATS, 2023)

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

Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms. - Dheeraj Baby; Saurabh Garg; Tzu-Ching Yen; Sivaraman Balakrishnan; Zachary C. Lipton; Yu-Xiang Wang 003 (NeurIPS, 2023)

Non-Stationary Contextual Pricing with Safety Constraints. - Dheeraj Baby; Jianyu Xu; Yu-Xiang Wang 003 (Trans. Mach. Learn. Res., 2023)

Adaptive Algorithms for Dynamic Decision-Making: Bridging Online Learning and Non-Parametric Regression - Dheeraj Baby (2023)

Online Matrix Completion: A Collaborative Approach with Hott Items. - Dheeraj Baby; Soumyabrata Pal (ICML, 2024)

Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. - Ruihan Wu; Siddhartha Datta; Yi Su; Dheeraj Baby; Yu-Xiang Wang 003; Kilian Q. Weinberger (NeurIPS, 2024)

Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. - Dheeraj Baby; Boran Han; Shuai Zhang 007; Cuixiong Hu; Bernie Wang 001; Yu-Xiang Wang (AISTATS, 2025)

Adaptive Estimation and Learning under Temporal Distribution Shift. - Dheeraj Baby; Yifei Tang; Hieu Duy Nguyen; Yu-Xiang Wang; Rohit Pyati (CoRR, 2025)