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TREGO: a Trust-Region Framework for Efficient Global Optimization

TREGO: a Trust-Region Framework for Efficient Global Optimization

18 January 2021
Youssef Diouane
Victor Picheny
Rodolophe Le Riche
Alexandre Scotto Di Perrotolo
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Papers citing "TREGO: a Trust-Region Framework for Efficient Global Optimization"

13 / 13 papers shown
Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
Mickael Binois
Jeffrey Larson
74
0
0
29 Apr 2025
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
R. Priem
Y. Diouane
N. Bartoli
S. Dubreuil
P. Saves
62
1
0
02 Feb 2025
A survey and benchmark of high-dimensional Bayesian optimization of
  discrete sequences
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
44
4
0
07 Jun 2024
LABCAT: Locally adaptive Bayesian optimization using
  principal-component-aligned trust regions
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
E. Visser
C. E. V. Daalen
J. C. Schoeman
45
0
0
19 Nov 2023
Mastering the exploration-exploitation trade-off in Bayesian
  Optimization
Mastering the exploration-exploitation trade-off in Bayesian Optimization
Antonio Candelieri
34
1
0
15 May 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with
  TensorFlow
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Victor Picheny
Joel Berkeley
Henry B. Moss
Hrvoje Stojić
Uri Granta
...
Sergio Pascual-Diaz
Stratis Markou
Jixiang Qing
Nasrulloh Loka
Ivo Couckuyt
26
17
0
16 Feb 2023
Inducing Point Allocation for Sparse Gaussian Processes in
  High-Throughput Bayesian Optimisation
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
Henry B. Moss
Sebastian W. Ober
Victor Picheny
32
24
0
24 Jan 2023
Local Bayesian optimization via maximizing probability of descent
Local Bayesian optimization via maximizing probability of descent
Quan Nguyen
Kaiwen Wu
Jacob R. Gardner
Roman Garnett
25
23
0
21 Oct 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using
  Zooming Memory-Based Initialization (ZoMBI)
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
Alexander E. Siemenn
Zekun Ren
Qianxiao Li
Tonio Buonassisi
46
23
0
26 Aug 2022
Bayesian Optimization with Informative Covariance
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
24
3
0
04 Aug 2022
Approximate Nash Equilibrium Learning for n-Player Markov Games in
  Dynamic Pricing
Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing
Larkin Liu
30
1
0
13 Jul 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained
  Optimization with Applications to Reinforcement Learning
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
Youssef Diouane
Aurelien Lucchi
Vihang Patil
29
3
0
21 Feb 2022
Revisiting Bayesian Optimization in the light of the COCO benchmark
Revisiting Bayesian Optimization in the light of the COCO benchmark
Rodolphe Le Riche
Victor Picheny
19
26
0
30 Mar 2021
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