Optimal best arm selection for general distributions. - Shubhada Agrawal; Sandeep Juneja 001; Peter W. Glynn (CoRR, 2019)

Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions. - Shubhada Agrawal; Sandeep Juneja 001; Peter W. Glynn (ALT, 2020)

City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic. - Shubhada Agrawal; Siddharth Bhandari; Anirban Bhattacharjee; Anand Deo; Narendra M. Dixit; Prahladh Harsha; Sandeep Juneja 001; Poonam Kesarwani; Aditya Krishna Swamy; Preetam Patil; Nihesh Rathod; Ramprasad Saptharishi; et al. (CoRR, 2020)

Regret Minimization in Heavy-Tailed Bandits. - Shubhada Agrawal; Sandeep Juneja 001; Wouter M. Koolen (COLT, 2021)

Optimal Best-Arm Identification Methods for Tail-Risk Measures. - Shubhada Agrawal; Wouter M. Koolen; Sandeep Juneja 001 (NeurIPS, 2021)

Optimal Best-Arm Identification in Bandits with Access to Offline Data. - Shubhada Agrawal; Sandeep Juneja 001; Karthikeyan Shanmugam; Arun Sai Suggala (CoRR, 2023)

Shift, scale and restart smaller models to estimate larger ones: Agent based simulators in epidemiology. - Daksh Mittal; Sandeep Juneja 001; Shubhada Agrawal (SIGMETRICS Perform. Evaluation Rev., 2023)

CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption. - Shubhada Agrawal; Timothée Mathieu; Debabrota Basu; Odalric-Ambrym Maillard (ALT, 2024)

Policy Evaluation for Variance in Average Reward Reinforcement Learning. - Shubhada Agrawal; Prashanth L. A.; Siva Theja Maguluri (ICML, 2024)

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis. - Agniv Bandyopadhyay; Sandeep Juneja 001; Shubhada Agrawal (NeurIPS, 2024)

On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds. - Shubhada Agrawal; Aaditya Ramdas (CoRR, 2025)