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On the choice of the low-dimensional domain for global optimization via random embeddings

18 April 2017

Papers citing "On the choice of the low-dimensional domain for global optimization via random embeddings"

21 / 21 papers shown

Title
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings R. Priem Y. Diouane N. Bartoli S. Dubreuil P. Saves 100 1 0 02 Feb 2025
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 68 5 0 07 Jun 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 108 5 0 18 Apr 2024
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 63 40 0 22 Apr 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 90 4 0 16 Feb 2023
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings Shuhei A Horiguchi Tomoharu Iwata Taku Tsuzuki Yosuke Ozawa 38 1 0 02 Nov 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization Lei Song Ke Xue Xiaobin Huang Chaojun Qian 119 34 0 04 Oct 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 86 233 0 07 Jun 2022
Scaling Bayesian Optimization With Game Theory L. Mathesen G. Pedrielli R. L. Smith 84 1 0 07 Oct 2021
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids Liang Ding Rui Tuo Xiaowei Zhang 67 3 0 19 Jul 2021
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 BDL DRL 97 61 0 07 Jun 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 103 148 0 27 Feb 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 89 38 0 31 Dec 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier Leonel Rozo 103 24 0 21 Oct 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 101 128 0 01 Jul 2020
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization Jingfan Chen Guanghui Zhu Chun Yuan Yihua Huang 117 15 0 29 May 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 95 102 0 20 Feb 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 122 116 0 31 Jan 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 104 474 0 03 Oct 2019
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version David Gaudrie Rodolphe Le Riche Victor Picheny B. Enaux V. Herbert 59 20 0 29 Aug 2019
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 92 137 0 22 Jun 2018