363 citations · 1.1k across the 50 of their papers we have counts for
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stat.ML2018★ 363 cited
A Tutorial on Bayesian Optimization
Peter I. Frazier
Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It is best-suited for optimization over continuous doma…
cs.LG2018★ 8 cited
Bayesian Optimization with Expensive Integrands
Saul Toscano-Palmerin, Peter I. Frazier
We propose a Bayesian optimization algorithm for objective functions that are sums or integrals of expensive-to-evaluate functions, allowing noisy evaluations. These objective func…