Anmol Kagrecha

20182019202020212022202320241 2 5 19 26 13 2

Public access

1 article

0 articles

available

not available

Based on funding mandates

Jayakrishnan NairAssociate Professor, Electrical Engineering, IIT BombayVerified email at ee.iitb.ac.in
Krishna JagannathanAssociate Professor, Department of Electrical Engineering, IIT MadrasVerified email at ee.iitm.ac.in
Kumar AshutoshGraduate student at UT AustinVerified email at utexas.edu
Benjamin Van RoyStanford UniversityVerified email at stanford.edu
HONG JUN JEONStanford UniversityVerified email at stanford.edu

Anmol Kagrecha

Verified email at stanford.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards A Kagrecha, J Nair, K Jagannathan Advances in Neural Information Processing Systems 32, 11272-11281, 2019	43	2019
Bandit algorithms: Letting go of logarithmic regret for statistical robustness K Ashutosh, J Nair, A Kagrecha, K Jagannathan International Conference on Artificial Intelligence and Statistics, 622-630, 2021	17	2021
Constrained regret minimization for multi-criterion multi-armed bandits A Kagrecha, J Nair, K Jagannathan Machine Learning 112 (2), 431-458, 2023	9	2023
Statistically robust, risk-averse best arm identification in multi-armed bandits A Kagrecha, J Nair, K Jagannathan IEEE Transactions on Information Theory 68 (8), 5248-5267, 2022	4	2022
Adaptive Crowdsourcing Via Self-Supervised Learning A Kagrecha, H Marklund, B Van Roy, HJ Jeon, R Zeckhauser arXiv preprint arXiv:2401.13239, 2024		2024
“Please come back later”: Benefiting from deferrals in service systems A Kagrecha, J Nair 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS …, 2020		2020

The system can't perform the operation now. Try again later.

Articles 1–6

Citations per year