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Good practices for Bayesian Optimization of high dimensional structured
  spaces

Good practices for Bayesian Optimization of high dimensional structured spaces

31 December 2020
E. Siivola
Javier I. González
Andrei Paleyes
Aki Vehtari
ArXivPDFHTML

Papers citing "Good practices for Bayesian Optimization of high dimensional structured spaces"

8 / 8 papers shown
Title
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
H. Kim
BDL
30
1
0
21 Apr 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus
Kyurae Kim
Yimeng Zeng
Haydn Thomas Jones
Fangping Wan
Marcelo Der Torossian Torres
Cesar de la Fuente-Nunez
Jacob R. Gardner
80
0
0
31 Jan 2025
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
46
5
0
18 Apr 2024
Optimizing Training Trajectories in Variational Autoencoders via Latent
  Bayesian Optimization Approach
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
DRL
19
10
0
30 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
38
198
0
07 Jun 2022
Local Latent Space Bayesian Optimization over Structured Inputs
Local Latent Space Bayesian Optimization over Structured Inputs
Natalie Maus
Haydn Thomas Jones
Juston Moore
Matt J. Kusner
John Bradshaw
Jacob R. Gardner
BDL
51
69
0
28 Jan 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark
  Suite for Lasso
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
Kenan Sehic
Alexandre Gramfort
Joseph Salmon
Luigi Nardi
22
35
0
04 Nov 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
47
104
0
26 Mar 2020
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