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Shubhada Agrawal

Enhanced indexing for risk averse investors using relaxed second order stochastic dominance
2016 · Amita Sharma, Shubhada Agrawal, et al. · Optimization and Engineering · 20
Regret Minimization in Heavy-Tailed Bandits
2021 · Agrawal, Shubhada, Juneja, Sandeep, et al. · arXiv (Cornell University) · 12
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Optimal Best-Arm Identification Methods for Tail-Risk Measures
2020 · Agrawal, Shubhada, Koolen, Wouter M., et al. · arXiv (Cornell University) · 11
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Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions
2019 · Agrawal, Shubhada, Juneja, Sandeep, et al. · arXiv (Cornell University) · 8
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Optimal Best-Arm Identification in Bandits with Access to Offline Data
2023 · Agrawal, Shubhada, Juneja, Sandeep, et al. · arXiv (Cornell University) · 2
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Regret-Minimization in Risk-Averse Bandits
2021 · Shubhada Agrawal, Sandeep Juneja, et al. · Indian Control Conference · 2
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Impact of the Influenza Vaccine on COVID-19 Infection Rates and Severity
2021 · Shubha Agrawal · International Journal of Science and Research (IJSR) · 2
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Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
2024 · Agniv Bandyopadhyay, Sandeep Juneja, et al. · neural information processing systems · 1
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CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption
2023 · Agrawal, Shubhada, Mathieu, Timothée, et al. · HAL · 1
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Optimal $\delta$-Correct Best-Arm Selection for General Distributions
2019 · Shubhada Agrawal, Sandeep Juneja, et al. · arXiv (Cornell University) · 1
Reliable Scale-Free Bandits via Empirical Likelihood
2026 · Gupta, Pratham, Sethi, Alhad, et al. · arXiv (Cornell University)
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Best Arm Identification for Bandits with Shifting Means
2026 · Zierahn, Lukas, Koolen, Wouter M., et al. · arXiv (Cornell University)
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Beyond First-order Asymptotics in Sequential Mean Testing
2026 · Deep, Vikas, Agrawal, Shubhada · arXiv (Cornell University)
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Regret Tail Characterization of Optimal Bandit Algorithms with Generic Rewards
2026 · Subhodip Panda, Shubhada Agrawal · IEEE International Symposium on Information Theory (ISIT)
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Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise
2026 · Agrawal, Shubhada, Maguluri, Siva Theja, et al. · arXiv (Cornell University)
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Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret
2026 · Agrawal, Shubhada, Ramdas, Aaditya · arXiv (Cornell University)
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Dual Representation of Minimum Divergence Under Integral Constraints
2026 · Shekhar, Shubhanshu, Agrawal, Shubhada · arXiv (Cornell University)
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Asymptotically Optimal Sequential Testing with Markovian Data
2026 · Sethi, Alhad, Sagar, Kavali Sofia, et al. · arXiv (Cornell University)
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Almost sure null bankruptcy of testing-by-betting strategies
2026 · Wang, Hongjian, Agrawal, Shubhada, et al. · arXiv (Cornell University)
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Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
2025 · Agrawal, Shubhada, Ramdas, Aaditya · arXiv (Cornell University)
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On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
2025 · Agrawal, Shubhada, Ram, Ashwin, et al. · arXiv (Cornell University)
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Markov Chain Variance Estimation: A Stochastic Approximation Approach
2024 · Agrawal, Shubhada, A., Prashanth L., et al. · arXiv (Cornell University)
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Shift, scale and restart smaller models to estimate larger ones: Agent based simulators in epidemiology
2023 · Daksh Mittal, Sandeep Juneja, et al. · ACM SIGMETRICS Performance Evaluation Review
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Optimal best arm selection for general distributions
2019 · Shubhada Agrawal, Sandeep Juneja, et al. · arXiv (Cornell University)
Works count: 24
Citation count: 60
H-index: 4
I10-index: 3
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