7 citations · 13 across the 6 of their papers we have counts for
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cs.LG2020
On Frequentist Regret of Linear Thompson Sampling
Nima Hamidi, Mohsen Bayati
This paper studies the stochastic linear bandit problem, where a decision-maker chooses actions from possibly time-dependent sets of vectors in and receives noisy re…
cs.LG2020★ 4 cited
The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
Mohsen Bayati, Nima Hamidi, Ramesh Johari +1
We investigate a Bayesian -armed bandit problem in the \emph{many-armed} regime, where and represents the time horizon. Initially, and aligned with recent…
cs.LG2020
A General Theory of the Stochastic Linear Bandit and Its Applications
Nima Hamidi, Mohsen Bayati
Recent growing adoption of experimentation in practice has led to a surge of attention to multiarmed bandits as a technique to reduce the opportunity cost of online experiments. In…