Publications

Aggregation algorithms

1. Granular Feedback Merits Sophisticated Aggregation
   A.K., Henrik Marklund, Potsawee Manakul, Richard Zeckhauser, Benjamin Van Roy
   [Preprint]

2. SkillAggregation: Reference-free LLM-Dependent Aggregation
   Guangzhi Sun, A.K., Potsawee Manakul, Phil Woodland, Mark Gales
   Annual Meeting of the Association for Computational Linguistics (ACL 2025)
   [Paper]

3. Adaptive Crowdsourcing Via Self-Supervised Learning
   A.K., Henrik Marklund, Benjamin Van Roy, Hong Jun Jeon, Richard Zeckhauser
   [Preprint]

Bandit algorithms

1. Statistically Robust, Risk-Averse Best Arm Identification in Multi-Armed Bandits
   A.K., Jayakrishnan Nair, Krishna Jagannathan
   IEEE Transactions on Information Theory
   [Paper]

2. Constrained Regret Minimization for Multi-Criterion Multi-Armed Bandits
   A.K., Jayakrishnan Nair, Krishna Jagannathan
   Springer Machine Learning
   [Paper]

3. Bandit Algorithms: Letting Go of Logarithmic Regret for Statistical Robustness
   Kumar Ashutosh, Jayakrishnan Nair, A.K., Krishna Jagannathan
   AISTATS 2021
   [Paper]

4. Distribution Oblivious, Risk-Aware Algorithms for Multi-Armed Bandits with Unbounded Rewards
   A.K., Jayakrishnan Nair, Krishna Jagannathan
   NeurIPS 2019
   [Paper]

Queueing theory

1. “Please Come Back Later”: Benefiting from Deferrals in Service Systems
   A.K. and Jayakrishnan Nair
   COMSNETS 2020
   [Paper]