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20172026
most citedFederated Best Arm Identification with Heterogeneous Clients

4 citations · 9 across the 12 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

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…

cs.LG2023

Best Arm Identification in Bandits with Limited Precision Sampling

Kota Srinivas Reddy, P. N. Karthik, Nikhil Karamchandani +1

We study best arm identification in a variant of the multi-armed bandit problem where the learner has limited precision in arm selection. The learner can only sample arms via certa…