A General Recipe for Likelihood-free Bayesian Optimization

27 June 2022

Papers citing "A General Recipe for Likelihood-free Bayesian Optimization"

7 / 7 papers shown

Title
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 173 0 0 10 Feb 2025
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 33 0 0 10 Sep 2024
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 36 1 0 24 May 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Shuhei Watanabe Noor H. Awad Masaki Onishi Frank Hutter 31 9 0 13 Dec 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 42 7 0 22 Sep 2022
BORE: Bayesian Optimization by Density-Ratio Estimation Louis C. Tiao Aaron Klein Matthias Seeger Edwin V. Bonilla Cédric Archambeau F. Ramos 35 26 0 17 Feb 2021
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 182 42 0 06 Mar 2020