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A survey and benchmark of high-dimensional Bayesian optimization of
  discrete sequences

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Neural Information Processing Systems (NeurIPS), 2024
7 June 2024
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
ArXiv (abs)PDFHTMLGithub (15★)

Papers citing "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"

10 / 10 papers shown
A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
Zhiyuan Wang
Shengcai Liu
Shaofeng Zhang
Ke Tang
114
0
0
29 Nov 2025
Informed Initialization for Bayesian Optimization and Active Learning
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner
David Eriksson
E. Bakshy
Max Balandat
AI4CE
214
1
0
27 Oct 2025
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
Seunghee Ryu
Donghoon Kwon
Seongjin Choi
Aryan Deshwal
Seungmo Kang
Carolina Osorio
127
1
0
21 Oct 2025
PepCompass: Navigating peptide embedding spaces using Riemannian Geometry
PepCompass: Navigating peptide embedding spaces using Riemannian Geometry
Marcin Mo.zejko
Adam Bielecki
Jurand Prądzyński
Marcin Traskowski
Antoni Janowski
...
Marcelo Der Torossian Torres
Cesar de la Fuente-Nunez
Paulina Szymczak
Michał Kmicikiewicz
Ewa Szczurek
289
0
0
02 Oct 2025
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization
Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization
Haotian Xiang
Jinwen Xu
Qin Lu
288
2
0
01 Oct 2025
BOOST: Bayesian Optimization with Optimal Kernel and Acquisition Function Selection Technique
BOOST: Bayesian Optimization with Optimal Kernel and Acquisition Function Selection Technique
Joon-Hyun Park
Mujin Cheon
Jeongsu Wi
Dong-Yeun Koh
317
1
0
04 Aug 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
Variational Search Distributions
Variational Search DistributionsInternational Conference on Learning Representations (ICLR), 2024
Daniel M. Steinberg
Rafael Oliveira
Cheng Soon Ong
Edwin V. Bonilla
687
5
0
10 Sep 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
302
16
0
18 Apr 2024
Simulation Based Bayesian Optimization
Simulation Based Bayesian Optimization
Roi Naveiro
Becky Tang
350
1
0
19 Jan 2024
1
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