9 citations · 12 across the 10 of their papers we have counts for
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stat.ML2023
Robust Causal Bandits for Linear Models
Zirui Yan, Arpan Mukherjee, Burak Varıcı +1
Sequential design of experiments for optimizing a reward function in causal systems can be effectively modeled by the sequential design of interventions in causal bandits (CBs). In…
stat.ML2023
Optimal Best Arm Identification with Fixed Confidence in Restless Bandits
P. N. Karthik, Vincent Y. F. Tan, Arpan Mukherjee +1
We study best arm identification in a restless multi-armed bandit setting with finitely many arms. The discrete-time data generated by each arm forms a homogeneous Markov chain tak…
stat.ML2023
Best Arm Identification in Stochastic Bandits: Beyond optimality
Arpan Mukherjee, Ali Tajer
This paper investigates a hitherto unaddressed aspect of best arm identification (BAI) in stochastic multi-armed bandits in the fixed-confidence setting. Two key metrics for assess…