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The reparameterization trick for acquisition functions

The reparameterization trick for acquisition functions

1 December 2017
James T. Wilson
Riccardo Moriconi
Katharina Eggensperger
M. Deisenroth
ArXiv (abs)PDFHTML

Papers citing "The reparameterization trick for acquisition functions"

3 / 53 papers shown
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
405
312
0
09 Jun 2020
Parameters Estimation for the Cosmic Microwave Background with Bayesian
  Neural Networks
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks
Héctor J. Hortúa
Riccardo Volpi
D. Marinelli
Luigi Malagò
BDL
236
25
0
19 Nov 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
308
97
0
14 Oct 2019
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