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Good practices for Bayesian Optimization of high dimensional structured
  spaces
v1v2 (latest)

Good practices for Bayesian Optimization of high dimensional structured spaces

Applied AI Letters (AA), 2020
31 December 2020
E. Siivola
Javier I. González
Andrei Paleyes
Aki Vehtari
ArXiv (abs)PDFHTML

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

21 / 21 papers shown
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
Luo Long
Coralia Cartis
Paz Fink Shustin
BDL
165
0
0
17 Oct 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Latent Bayesian Optimization via Autoregressive Normalizing FlowsInternational Conference on Learning Representations (ICLR), 2025
Seunghun Lee
Jinyoung Park
Jaewon Chu
Minseo Yoon
H. Kim
BDL
390
14
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
599
0
0
31 Jan 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Safe Bayesian Optimization for the Control of High-Dimensional Embodied SystemsConference on Robot Learning (CoRL), 2024
Yunyue Wei
Zeji Yi
Hongda Li
Saraswati Soedarmadji
Yanan Sui
419
5
0
31 Dec 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
304
16
0
18 Apr 2024
Co-orchestration of Multiple Instruments to Uncover Structure-Property
  Relationships in Combinatorial Libraries
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries
B. Slautin
Utkarsh Pratiush
Ilia N. Ivanov
Yongtao Liu
Rohit K. Pant
Xiaohang Zhang
Ichiro Takeuchi
M. Ziatdinov
Sergei V. Kalinin
242
5
0
03 Feb 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with
  Pseudo-Label and Gaussian Process Guidance
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
Taicai Chen
Yue Duan
Dong Li
Lei Qi
Yinghuan Shi
Yang Gao
BDLDRL
259
12
0
28 Dec 2023
Joint Composite Latent Space Bayesian Optimization
Joint Composite Latent Space Bayesian OptimizationInternational Conference on Machine Learning (ICML), 2023
Natalie Maus
Zhiyuan Jerry Lin
Maximilian Balandat
E. Bakshy
BDL
267
3
0
03 Nov 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space
Advancing Bayesian Optimization via Learning Correlated Latent SpaceNeural Information Processing Systems (NeurIPS), 2023
Seunghun Lee
Jaewon Chu
S. Kim
Juyeon Ko
Hyunwoo J. Kim
BDL
587
18
0
31 Oct 2023
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Mani Valleti
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
250
15
0
25 Mar 2023
Latent Space Bayesian Optimization with Latent Data Augmentation for
  Enhanced Exploration
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced ExplorationNeural Computation (Neural Comput.), 2023
O. Boyar
Ichiro Takeuchi
BDL
496
5
0
05 Feb 2023
Are Random Decompositions all we need in High Dimensional Bayesian
  Optimisation?
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?International Conference on Machine Learning (ICML), 2023
Juliusz Ziomek
Haitham Bou-Ammar
213
37
0
30 Jan 2023
Discovering Many Diverse Solutions with Bayesian Optimization
Discovering Many Diverse Solutions with Bayesian OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Natalie Maus
Kaiwen Wu
David Eriksson
Jacob R. Gardner
592
35
0
20 Oct 2022
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
BDLDRL
294
13
0
30 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian OptimizationACM Computing Surveys (ACM CSUR), 2022
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
410
482
0
07 Jun 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Jaeyeon Ahn
Taehyeon Kim
Seyoung Yun
235
0
0
02 Feb 2022
Local Latent Space Bayesian Optimization over Structured Inputs
Local Latent Space Bayesian Optimization over Structured InputsNeural Information Processing Systems (NeurIPS), 2022
Natalie Maus
Haydn Thomas Jones
Juston Moore
Matt J. Kusner
John Bradshaw
Jacob R. Gardner
BDL
425
96
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
420
50
0
04 Nov 2021
A machine learning approach for fighting the curse of dimensionality in
  global optimization
A machine learning approach for fighting the curse of dimensionality in global optimization
J. Schumann
Alejandro M. Aragón
250
2
0
28 Oct 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and
  Deep Metric Learning
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
Antoine Grosnit
Rasul Tutunov
A. Maraval
Ryan-Rhys Griffiths
Alexander I. Cowen-Rivers
...
Wenlong Lyu
Zhitang Chen
Jun Wang
Jan Peters
Haitham Bou-Ammar
BDLDRL
322
78
0
07 Jun 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
369
132
0
26 Mar 2020
1
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