Tom Dhaene — accepted AI-conference papers

2023

{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

AISTATS 2023poster

We present Parallel Feasible Pareto Frontier Entropy Search ($\{\mathrm{PF}\}^2$ES) — a novel information-theoretic acquisition function for multi-objective Bayesian optimization supporting unknown constraints and batch queries. Due to the complexity of characterizing the mutual information between…

Cited by 6 Source ↗PDF ↗Scholar ↗

2022

Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty

Jixiang Qing, Tom Dhaene, Ivo Couckuyt

ICML 2022spotlight

We study the inference of mean-variance robustness measures to quantify input uncertainty under the Gaussian Process (GP) framework. These measures are widely used in applications where the robustness of the solution is of interest, for example, in engineering design. While the variance is commonly…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗