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Tree ensemble kernels for Bayesian optimization with known constraints
  over mixed-feature spaces

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces

2 July 2022
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces"

11 / 11 papers shown
Title
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
52
0
0
07 Mar 2025
Global Optimization of Gaussian Process Acquisition Functions Using a
  Piecewise-Linear Kernel Approximation
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
Yilin Xie
Shiqiang Zhang
J. Paulson
Calvin Tsay
18
5
0
22 Oct 2024
Offline Multi-Objective Optimization
Offline Multi-Objective Optimization
Ke Xue
Rong-Xi Tan
Xiaobin Huang
Chao Qian
OffRL
36
5
0
06 Jun 2024
Bayesian optimization as a flexible and efficient design framework for
  sustainable process systems
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
J. Paulson
Calvin Tsay
TPM
24
12
0
29 Jan 2024
Bounce: Reliable High-Dimensional Bayesian Optimization for
  Combinatorial and Mixed Spaces
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Leonard Papenmeier
Luigi Nardi
Matthias Poloczek
19
4
0
02 Jul 2023
Bayesian Optimisation Against Climate Change: Applications and
  Benchmarks
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
19
1
0
07 Jun 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature
  over Discrete and Mixed Spaces
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces
Masaki Adachi
Satoshi Hayakawa
Saad Hamid
Martin Jørgensen
Harald Oberhauser
M. A. Osborne
13
7
0
27 Jan 2023
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
23
23
0
11 Nov 2022
Maximizing information from chemical engineering data sets: Applications
  to machine learning
Maximizing information from chemical engineering data sets: Applications to machine learning
Alexander Thebelt
Johannes Wiebe
Jan Kronqvist
Calvin Tsay
Ruth Misener
AI4CE
21
68
0
25 Jan 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
80
323
0
20 Sep 2021
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
103
0
26 Mar 2020
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