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stat.ML2020
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili, Kia Khezeli, Victor Picheny
Consider the sequential optimization of an expensive to evaluate and possibly non-convex objective function from noisy feedback, that can be considered as a continuum-armed ban…
stat.ML2019
Safe Linear Stochastic Bandits
Kia Khezeli, Eilyan Bitar
We introduce the safe linear stochastic bandit framework---a generalization of linear stochastic bandits---where, in each stage, the learner is required to select an arm with an ex…