Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization
Black-box optimization problems are ubiquitous across science and engineering, often dealing with expensive objective functions. This objective latency has two consequences during optimization: (i) the objective evaluation dominates execution time, and (ii) sample-efficient algorithms are crucial to accelerate developm...
G. Sutter, A. Comas-Leon, David Holzmüller et al.
· 0 citations