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BORE: Bayesian Optimization by Density-Ratio Estimation

BORE: Bayesian Optimization by Density-Ratio Estimation

17 February 2021
Louis C. Tiao
Aaron Klein
Matthias Seeger
Edwin V. Bonilla
Cédric Archambeau
F. Ramos
ArXivPDFHTML

Papers citing "BORE: Bayesian Optimization by Density-Ratio Estimation"

6 / 6 papers shown
Title
Bayesian Optimization by Kernel Regression and Density-based Exploration
Bayesian Optimization by Kernel Regression and Density-based Exploration
Tansheng Zhu
Hongyu Zhou
Ke Jin
Xusheng Xu
Qiufan Yuan
Lijie Ji
57
0
0
10 Feb 2025
Variational Search Distributions
Variational Search Distributions
Daniel M. Steinberg
Rafael Oliveira
Cheng Soon Ong
Edwin V. Bonilla
30
0
0
10 Sep 2024
Density Ratio Estimation-based Bayesian Optimization with
  Semi-Supervised Learning
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
21
1
0
24 May 2023
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
401
0
06 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1