OVR is a new one-step lookahead BO algorithm with Monte Carlo approximations that achieves a vanishing Bayesian expected simple regret upper bound.
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Optimal-Point Variance Reduction For Bayesian Optimization With Regret Guarantee
OVR is a new one-step lookahead BO algorithm with Monte Carlo approximations that achieves a vanishing Bayesian expected simple regret upper bound.