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Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic
  Bayesian Optimisation

Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation

17 October 2019
Ryan-Rhys Griffiths
Alexander A. Aldrick
Miguel García-Ortegón
Vidhi R. Lalchand
A. Lee
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Papers citing "Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation"

5 / 5 papers shown
Title
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes
Vadim Rozenfeld
Bracha Laufer Goldshtein
28
0
0
18 Sep 2024
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
Rasul Tutunov
Zhi Wang
Antoine Grosnit
...
A. Maraval
Hao Jianye
Jun Wang
Jan Peters
H. Ammar
27
74
0
07 Dec 2020
Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes
Ryan-Rhys Griffiths
Jake L. Greenfield
Aditya R. Thawani
Arian R. Jamasb
Henry B. Moss
Anthony Bourached
Penelope Jones
William McCorkindale
Alexander A. Aldrick
Matthew J. Fuchter Alpha A. Lee
8
13
0
28 Jun 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables
  informed by expert knowledge
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Hase
Matteo Aldeghi
Riley J. Hickman
L. Roch
Alán Aspuru-Guzik
43
104
0
26 Mar 2020
Compositional ADAM: An Adaptive Compositional Solver
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
ODL
49
16
0
10 Feb 2020
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