| 2025 | AISTATS | Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. | Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yuxiang Wang |
| 2025 | ICML | Adaptive Estimation and Learning under Temporal Distribution Shift. | Dheeraj Baby, Yifei Tang, Hieu Duy Nguyen, Yu-Xiang Wang, Rohit Pyati |
| 2025 | ICML | AKORN: Adaptive Knots generated Online for RegressioN splines. | Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang |
| 2024 | ICML | Online Matrix Completion: A Collaborative Approach with Hott Items. | Dheeraj Baby, Soumyabrata Pal |
| 2023 | AISTATS | Second Order Path Variationals in Non-Stationary Online Learning. | Dheeraj Baby, Yu-Xiang Wang |
| 2023 | COLT | Near Optimal Heteroscedastic Regression with Symbiotic Learning. | Aniket Das, Dheeraj M. Nagaraj, Praneeth Netrapalli, Dheeraj Baby |
| 2022 | AISTATS | Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. | Dheeraj Baby, Yu-Xiang Wang |
| 2021 | AISTATS | An Optimal Reduction of TV-Denoising to Adaptive Online Learning. | Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang |
| 2021 | COLT | Optimal Dynamic Regret in Exp-Concave Online Learning. | Dheeraj Baby, Yu-Xiang Wang |