6 citations · 6 across the 4 of their papers we have counts for
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stat.ML2018
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting
Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee +2
We consider a finite-armed structured bandit problem in which mean rewards of different arms are known functions of a common hidden parameter . Since we do not place any restr…
cs.LG2018
Active Distribution Learning from Indirect Samples
Samarth Gupta, Gauri Joshi, Osman Yağan
This paper studies the problem of {\em learning} the probability distribution of a discrete random variable using indirect and sequential samples. At each time step, we c…
stat.ML2018
Correlated Multi-armed Bandits with a Latent Random Source
Samarth Gupta, Gauri Joshi, Osman Yağan
We consider a novel multi-armed bandit framework where the rewards obtained by pulling the arms are functions of a common latent random variable. The correlation between arms due t…