Anmol Kagrecha

According to our database, Anmol Kagrecha authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Granular feedback merits sophisticated aggregation.

Anmol Kagrecha, Henrik Marklund, Potsawee Manakul, Richard Zeckhauser, Benjamin Van Roy

CoRR, July, 2025

SkillAggregation: Reference-free LLM-Dependent Aggregation.

Guangzhi Sun, Anmol Kagrecha, Potsawee Manakul, Philip C. Woodland, Mark J. F. Gales

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Adaptive Crowdsourcing Via Self-Supervised Learning.

Anmol Kagrecha, Henrik Marklund, Benjamin Van Roy, Hong Jun Jeon, Richard Zeckhauser

CoRR, 2024

2023

Constrained regret minimization for multi-criterion multi-armed bandits.

Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan

Mach. Learn., February, 2023

2022

Statistically Robust, Risk-Averse Best Arm Identification in Multi-Armed Bandits.

Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan

IEEE Trans. Inf. Theory, 2022

2021

Bandit algorithms: Letting go of logarithmic regret for statistical robustness.

Kumar Ashutosh, Jayakrishnan Nair, Anmol Kagrecha, Krishna P. Jagannathan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

"Please Come Back Later": Benefiting from Deferrals in Service Systems.

Anmol Kagrecha, Jayakrishnan Nair

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019

Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards.

Anmol Kagrecha, Jayakrishnan Nair, Krishna P. Jagannathan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019