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Sequential Learning of Active Subspaces
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Sequential Learning of Active Subspaces

Nathan Wycoff
M. Binois
Stefan M. Wild
ArXiv (abs)PDFHTML

Papers citing "Sequential Learning of Active Subspaces"

7 / 7 papers shown
Title
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
74
5
0
07 Jun 2024
Regression Trees Know Calculus
Regression Trees Know Calculus
Nathan Wycoff
85
0
0
22 May 2024
Shared active subspace for multivariate vector-valued functions
Shared active subspace for multivariate vector-valued functions
Khadija Musayeva
M. Binois
50
0
0
05 Jan 2024
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Valentin Breaz
Richard D. Wilkinson
69
0
0
17 Apr 2022
Latent Map Gaussian Processes for Mixed Variable Metamodeling
Latent Map Gaussian Processes for Mixed Variable Metamodeling
Nicholas Oune
Ramin Bostanabad
57
34
0
07 Feb 2021
Sensitivity Prewarping for Local Surrogate Modeling
Sensitivity Prewarping for Local Surrogate Modeling
Nathan Wycoff
M. Binois
R. Gramacy
75
10
0
15 Jan 2021
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
Raphael Gautier
Piyush Pandita
Sayan Ghosh
D. Mavris
39
3
0
08 Aug 2020