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stat.ML2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
Jack M. Buckingham, Ivo Couckuyt, Juergen Branke
Bayesian optimization is a sample-efficient method for solving expensive, black-box optimization problems. Stochastic programming concerns optimization under uncertainty where, typ…
cs.NE2024
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO
Arash Heidari, Sebastian Rojas Gonzalez, Tom Dhaene +1
Multi-objective optimization is a widely studied problem in diverse fields, such as engineering and finance, that seeks to identify a set of non-dominated solutions that provide op…