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Author

Nihal Sharma

Observed name: Sharma, Nihal
ORCID: 0000-0003-1289-5852
Observed ORCID: 0000-0003-1289-5852
OpenAlex ID: A5062151655
JEPA-Bisim: Learning Robust Visual Representations for Planning with Joint-Embedding Predictive World Models
2026 · Toso, Leonardo F., Shadunts, Davit, et al. · arXiv (Cornell University) · 16
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Darwin: Flexible Learning-based CDN Caching
2023 · Jiayi Chen, Nihal Sharma, et al. · ACM SIGCOMM Conference (SIGCOMM) · 15
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Bandits with Mean Bounds
2020 · Sharma, Nihal, Basu, Soumya, et al. · arXiv (Cornell University) · 13
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Contextual Bandits with Stochastic Experts
2018 · Sen, Rajat, Shanmugam, Karthikeyan, et al. · arXiv (Cornell University) · 5
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The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning
2026 · Agrawal, Aakriti, Chakraborty, Souradip, et al. · arXiv (Cornell University) · 3
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Warm Starting Bandits with Side Information from Confounded Data
2020 · Nihal Sharma, Soumya Basu, et al. · arXiv (Cornell University) · 3
On a Foundation Model for Operating Systems
2023 · Saxena, Divyanshu, Sharma, Nihal, et al. · arXiv (Cornell University) · 2
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Online Batching with Lookahead: Adversarial Limits and Stochastic Gains
2026 · Christou, Dimitris, Chen, Jiayi, et al. · arXiv (Cornell University) · 1
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Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes
2024 · Nihal Sharma, Rajat Sen, et al. · ACM Transactions on Modeling and Performance Evaluation of Computing Systems
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Episodic Bandits with Stochastic Experts.
2021 · Nihal Sharma, Soumya Basu, et al. · arXiv (Cornell University)
On Under-exploration in Bandits with Mean Bounds from Confounded Data
2020 · Nihal Sharma, Soumya Basu, et al. · arXiv (Cornell University)
Works count: 12
Citation count: 59
H-index: 4
I10-index: 3
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