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Heteroscedastic Treed Bayesian Optimisation

Heteroscedastic Treed Bayesian Optimisation

27 October 2014
Yannis Assael
Ziyun Wang
Bobak Shahriari
Nando de Freitas
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Papers citing "Heteroscedastic Treed Bayesian Optimisation"

11 / 11 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
40
0
0
18 Sep 2024
Bayesian Optimization with Adaptive Kernels for Robot Control
Bayesian Optimization with Adaptive Kernels for Robot Control
Ruben Martinez-Cantin
14
37
0
10 Feb 2024
Bayesian Optimization with Informative Covariance
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
24
3
0
04 Aug 2022
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free
  Optimization
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Valerio Perrone
Huibin Shen
Aida Zolic
I. Shcherbatyi
Amr Ahmed
...
Barbara Pogorzelska
Miroslav Miladinovic
K. Kenthapadi
Matthias Seeger
Cédric Archambeau
45
16
0
15 Dec 2020
Neural fidelity warping for efficient robot morphology design
Neural fidelity warping for efficient robot morphology design
Sha Hu
Zeshi Yang
Greg Mori
55
4
0
08 Dec 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
Lukas P. Frohlich
Edgar D. Klenske
Julia Vinogradska
Christian Daniel
Melanie Zeilinger
42
36
0
07 Feb 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic
  Bayesian Optimisation
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
Ryan-Rhys Griffiths
Alexander A. Aldrick
Miguel García-Ortegón
Vidhi R. Lalchand
A. Lee
31
35
0
17 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization
Scalable Global Optimization via Local Bayesian Optimization
Samyam Rajbhandari
Michael Pearce
Jacob R. Gardner
Ryan D. Turner
Matthias Poloczek
48
450
0
03 Oct 2019
BOCK : Bayesian Optimization with Cylindrical Kernels
BOCK : Bayesian Optimization with Cylindrical Kernels
Changyong Oh
E. Gavves
Max Welling
23
135
0
05 Jun 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise
Information Directed Sampling and Bandits with Heteroscedastic Noise
Johannes Kirschner
Andreas Krause
18
122
0
29 Jan 2018
Bayesian Multi-Scale Optimistic Optimization
Bayesian Multi-Scale Optimistic Optimization
Ziyun Wang
B. Shakibi
L. Jin
Nando de Freitas
80
95
0
27 Feb 2014
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