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Mixed-Variable Bayesian Optimization

Mixed-Variable Bayesian Optimization

2 July 2019
Erik A. Daxberger
Anastasia Makarova
M. Turchetta
Andreas Krause
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Papers citing "Mixed-Variable Bayesian Optimization"

12 / 12 papers shown
Title
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model
  Retraining
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining
Wenyu Wang
Zheyi Fan
S. Ng
23
0
0
24 May 2024
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
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCV
BDL
35
10
0
02 Jul 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 2022
Lossy compression of matrices by black-box optimisation of mixed integer
  nonlinear programming
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming
T. Kadowaki
Mitsuru Ambai
20
7
0
22 Apr 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Bayesian Optimization for auto-tuning GPU kernels
Bayesian Optimization for auto-tuning GPU kernels
Floris-Jan Willemsen
Rob van Nieuwpoort
Ben van Werkhoven
15
20
0
26 Nov 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
30
100
0
14 Sep 2021
Counterfactual Explanations for Arbitrary Regression Models
Counterfactual Explanations for Arbitrary Regression Models
Thomas Spooner
Danial Dervovic
Jason Long
Jon Shepard
Jiahao Chen
Daniele Magazzeni
19
26
0
29 Jun 2021
Fast Design Space Exploration of Nonlinear Systems: Part I
Fast Design Space Exploration of Nonlinear Systems: Part I
S. Narain
Emily Mak
Dana Chee
Brendan Englot
K. Pochiraju
N. Jha
Karthik Narayan
15
5
0
05 Apr 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
104
0
26 Mar 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,337
0
12 Feb 2018
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
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