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Shubhada Agrawal
Shubhada Agrawal
Dirección de correo verificada de andrew.cmu.edu - Página principal
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City-scale agent-based simulators for the study of non-pharmaceutical interventions in the context of the COVID-19 epidemic: IISc-TIFR COVID-19 city-scale simulation team
S Agrawal, S Bhandari, A Bhattacharjee, A Deo, NM Dixit, P Harsha, ...
Journal of the Indian Institute of Science 100, 809-847, 2020
392020
Optimal -Correct Best-Arm Selection for Heavy-Tailed Distributions
S Agrawal, S Juneja, P Glynn
Algorithmic Learning Theory, 61-110, 2020
322020
Regret minimization in heavy-tailed bandits
S Agrawal, SK Juneja, WM Koolen
Conference on Learning Theory, 26-62, 2021
262021
Optimal best-arm identification methods for tail-risk measures
S Agrawal, WM Koolen, S Juneja
Advances in Neural Information Processing Systems 34, 2021
192021
Enhanced indexing for risk averse investors using relaxed second order stochastic dominance
A Sharma, S Agrawal, A Mehra
Optimization and Engineering 18 (2), 407-442, 2017
192017
Seroprevalence of SARS-CoV-2 in slums and non-slums of Mumbai, India, during June 29-July 19
A Malani, D Shah, G Kang, GN Lobo, J Shastri, M Mohanan, R Jain, ...
medRxiv, 2020
132020
COVID-19 epidemic: unlocking the lockdown in India (working paper). IISc-TIFR technical report
S Agrawal, S Bhandari, A Bhattacharjee, A Deo
42020
Optimal δ-correct best-arm selection for general distributions
S Agrawal, S Juneja, P Glynn
arXiv preprint arXiv:1908.09094, 2019
42019
Optimal best-arm identification in bandits with access to offline data
S Agrawal, S Juneja, K Shanmugam, AS Suggala
arXiv preprint arXiv:2306.09048, 2023
32023
Bandits with Heavy Tails Algorithms Analysis and Optimality
S Agrawal
Mumbai, 2022
32022
Shift, scale and restart smaller models to estimate larger ones: Agent based simulators in epidemiology
D Mittal, S Juneja, S Agrawal
ACM SIGMETRICS Performance Evaluation Review 50 (4), 56-58, 2023
12023
Agent based simulators for Covid-19: Simulating larger models using smaller ones
D Mittal, S Juneja, S Agrawal
arXiv preprint arXiv:2209.02887, 2022
12022
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption
S Agrawal, T Mathieu, D Basu, OA Maillard
International Conference on Algorithmic Learning Theory, 74-124, 2024
2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
A Bandyopadhyay, S Juneja, S Agrawal
arXiv preprint arXiv:2403.09123, 2024
2024
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones
D Mittal, S Juneja, S Agrawal
arXiv preprint arXiv:2209.02887, 2022
2022
Regret-Minimization in Risk-Averse Bandits
S Agrawal, S Juneja, WM Koolen
2021 Seventh Indian Control Conference (ICC), 195-200, 2021
2021
Erratum: Optimal δ-Correct Best-Arm Selection for Heavy-Tailed Distributions
S Agrawal, S Juneja, P Glynn
2020
Policy Evaluation for Variance in Average Reward Reinforcement Learning
S Agrawal, LA Prashanth, ST Maguluri
Forty-first International Conference on Machine Learning, 0
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