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stat.ML2025
Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
Jack M. Buckingham, Sebastian Rojas Gonzalez, Juergen Branke
Multi-objective Bayesian optimization aims to find the Pareto front of trade-offs between a set of expensive objectives while collecting as few samples as possible. In some cases,…
stat.ML2025
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…