2 citations · 2 across the 2 of their papers we have counts for
4 papers
Bayesian Preference Elicitation: Human-In-The-Loop Optimization of An Active Prosthesis
Sophia Taddei, Wouter Koppen, Eligia Alfio +8
Tuning active prostheses for people with amputation is time-consuming and relies on metrics that may not fully reflect user needs. We introduce a human-in-the-loop optimization (HI…
Bayesian preference elicitation for decision support in multiobjective optimization
Felix Huber, Sebastian Rojas Gonzalez, Raul Astudillo
We present a novel approach to help decision-makers efficiently identify preferred solutions from the Pareto set of a multi-objective optimization problem. Our method uses a Bayesi…
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,…
Bi-objective Ranking and Selection Using Stochastic Kriging
Sebastian Rojas Gonzalez, Juergen Branke, Inneke van Nieuwenhuyse
We consider bi-objective ranking and selection problems, where the goal is to correctly identify the Pareto optimal solutions among a finite set of candidates for which the two obj…