Revisiting Bayesian Optimization in the light of the COCO benchmark

30 March 2021

Papers citing "Revisiting Bayesian Optimization in the light of the COCO benchmark"

8 / 8 papers shown

Title
Co-Learning Bayesian Optimization Zhendong Guo Yew-Soon Ong Tiantian He Haitao Liu 99 2 0 23 Jan 2025
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft P. Saves Y. Diouane N. Bartoli T. Lefebvre J. Morlier 33 5 0 10 Nov 2023
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models Santiago Marin Bronwyn Loong A. Westveld 21 0 0 07 Nov 2023
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables Loïc Brevault M. Balesdent 33 2 0 11 Sep 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis Lennart Schneider Lennart Schäpermeier Raphael Patrick Prager B. Bischl Heike Trautmann P. Kerschke 12 10 0 30 Jul 2022
A comparison of mixed-variables Bayesian optimization approaches Jhouben Cuesta Ramirez Rodolphe Le Riche O. Roustant G. Perrin Cédric Durantin A. Glière 19 17 0 30 Oct 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 13 34 0 09 Jun 2020