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…
By Gustavo Sutter, Alejandro Comas-Leon, David Holzm\"uller, Hao Wang, Luis Ricardez-Sandoval, Pascal Poupart, Agustinus KristiadiarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 8, 2026.
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