9 citations · 12 across the 10 of their papers we have counts for
10 papers
Preference-centric Bandits: Optimality of Mixtures and Regret-efficient Algorithms
Meltem Tatlı, Arpan Mukherjee, Prashanth L. A. +2
The objective of canonical multi-armed bandits is to identify and repeatedly select an arm with the largest reward, often in the form of the expected value of the arm's probability…
Risk-sensitive Bandits: Arm Mixture Optimality and Regret-efficient Algorithms
Meltem Tatlı, Arpan Mukherjee, Prashanth L. A. +2
This paper introduces a general framework for risk-sensitive bandits that integrates the notions of risk-sensitive objectives by adopting a rich class of distortion riskmetrics. Th…
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan +2
This paper considers the problem of combinatorial multi-armed bandits with semi-bandit feedback and a cardinality constraint on the super-arm size. Existing algorithms for solving…
Improved Bound for Robust Causal Bandits with Linear Models
Zirui Yan, Arpan Mukherjee, Burak Varıcı +1
This paper investigates the robustness of causal bandits (CBs) in the face of temporal model fluctuations. This setting deviates from the existing literature's widely-adopted assum…
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…
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…
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…
Active Sampling of Multiple Sources for Sequential Estimation
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen +1
Consider processes, each generating a sequence of identical and independent random variables. The probability measures of these processes have random parameters that must be es…
SPRT-based Efficient Best Arm Identification in Stochastic Bandits
Arpan Mukherjee, Ali Tajer
This paper investigates the best arm identification (BAI) problem in stochastic multi-armed bandits in the fixed confidence setting. The general class of the exponential family of…
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen +1
This paper investigates the problem of best arm identification in stochastic multi-arm bandits. In this setting, the rewards obtained from any arm are repla…