On the role of Model Uncertainties in Bayesian Optimization

On the role of Model Uncertainties in Bayesian Optimization

14 January 2023

Jonathan Foldager

Lars Kai Hansen

Michael Riis Andersen

Papers citing "On the role of Model Uncertainties in Bayesian Optimization"

5 / 5 papers shown

Title
A physics-informed Bayesian optimization method for rapid development of electrical machines Pedram Asef Christopher Vagg AI4CE 34 2 0 01 Mar 2025
Ranking over Regression for Bayesian Optimization and Molecule Selection Gary Tom Stanley Lo Samantha Corapi Alán Aspuru-Guzik Benjamín Sánchez-Lengeling BDL 29 0 0 11 Oct 2024
Kermut: Composite kernel regression for protein variant effects Peter Mørch Groth Mads Herbert Kerrn Lars Olsen Jesper Salomon Wouter Boomsma 29 2 0 09 Apr 2024
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider W. Neiswanger 30 70 0 21 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016