6 citations · 11 across the 5 of their papers we have counts for
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cs.LG2022★ 6 cited
Robust Multi-Objective Bayesian Optimization Under Input Noise
Samuel Daulton, Sait Cakmak, Maximilian Balandat +3
Bayesian optimization (BO) is a sample-efficient approach for tuning design parameters to optimize expensive-to-evaluate, black-box performance metrics. In many manufacturing proce…
math.OC2022
Contextual Ranking and Selection with Gaussian Processes
Sait Cakmak, Siyang Gao, Enlu Zhou
In many real world problems, we are faced with the problem of selecting the best among a finite number of alternatives, where the best alternative is determined based on context sp…