Shubhada Agrawal

According to our database1, Shubhada Agrawal authored at least 10 papers between 2019 and 2024.

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Bibliography

2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis.
CoRR, 2024

Policy Evaluation for Variance in Average Reward Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Shift, scale and restart smaller models to estimate larger ones: Agent based simulators in epidemiology.
SIGMETRICS Perform. Evaluation Rev., April, 2023

Optimal Best-Arm Identification in Bandits with Access to Offline Data.
CoRR, 2023

2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Regret Minimization in Heavy-Tailed Bandits.
Proceedings of the Conference on Learning Theory, 2021

2020
City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic.
CoRR, 2020

Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions.
Proceedings of the Algorithmic Learning Theory, 2020

2019
Optimal best arm selection for general distributions.
CoRR, 2019


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