| 2026 | ISIT | Active Nonparametric Two-Sample Testing by Betting on Heterogeneous Data Sources. | Chia-Yu Hsu, Shubhanshu Shekhar |
| 2024 | AISTATS | Deep anytime-valid hypothesis testing. | Teodora Pandeva, Patrick Forr, Aaditya Ramdas, Shubhanshu Shekhar |
| 2024 | ICML | Reducing sequential change detection to sequential estimation. | Shubhanshu Shekhar, Aaditya Ramdas |
| 2023 | ICML | Sequential Changepoint Detection via Backward Confidence Sequences. | Shubhanshu Shekhar, Aaditya Ramdas |
| 2023 | UAI | Risk-limiting financial audits via weighted sampling without replacement. | Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas |
| 2022 | ICML | Instance Dependent Regret Analysis of Kernelized Bandits. | Shubhanshu Shekhar, Tara Javidi |
| 2022 | ISIT | Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS. | Madison Lee, Shubhanshu Shekhar, Tara Javidi |
| 2021 | AISTATS | Significance of Gradient Information in Bayesian Optimization. | Shubhanshu Shekhar, Tara Javidi |
| 2020 | ICML | Adaptive Sampling for Estimating Probability Distributions. | Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh |
| 2020 | ISIT | Active Learning for Classification with Abstention. | Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi |
| 2020 | UAI | Active Model Estimation in Markov Decision Processes. | Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric |
| 2019 | AISTATS | Multiscale Gaussian Process Level Set Estimation. | Shubhanshu Shekhar, Tara Javidi |
| 2017 | RECOMB | Species Tree Estimation Using ASTRAL: How Many Genes Are Enough? | Shubhanshu Shekhar, Sebastien Roch, Siavash Mirarab |