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Mercer Features for Efficient Combinatorial Bayesian Optimization

Mercer Features for Efficient Combinatorial Bayesian Optimization

14 December 2020
Aryan Deshwal
Syrine Belakaria
J. Doppa
ArXivPDFHTML

Papers citing "Mercer Features for Efficient Combinatorial Bayesian Optimization"

13 / 13 papers shown
Title
A Generative Neural Annealer for Black-Box Combinatorial Optimization
A Generative Neural Annealer for Black-Box Combinatorial Optimization
Yuan-Hang Zhang
M. Di Ventra
34
0
0
14 May 2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
Melis Ilayda Bal
Pier Giuseppe Sessa
Mojmír Mutný
Andreas Krause
47
1
0
27 Sep 2024
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
49
4
0
07 Jun 2024
Bayesian Optimization of Functions over Node Subsets in Graphs
Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang
Xingchen Wan
Xiaowen Dong
60
1
0
24 May 2024
Random Postprocessing for Combinatorial Bayesian Optimization
Random Postprocessing for Combinatorial Bayesian Optimization
Keisuke Morita
Yoshihiko Nishikawa
Masayuki Ohzeki
44
2
0
06 Sep 2023
Bayesian Optimisation of Functions on Graphs
Bayesian Optimisation of Functions on Graphs
Xingchen Wan
Pierre Osselin
Henry Kenlay
Binxin Ru
Michael A. Osborne
Xiaowen Dong
31
4
0
08 Jun 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
29
2
0
01 Jun 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
Adam X. Yang
Laurence Aitchison
Henry B. Moss
31
4
0
22 Feb 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
33
17
0
16 Feb 2023
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
42
200
0
07 Jun 2022
Fourier Representations for Black-Box Optimization over Categorical
  Variables
Fourier Representations for Black-Box Optimization over Categorical Variables
Hamid Dadkhahi
Jesus Rios
Karthikeyan Shanmugam
Payel Das
40
11
0
08 Feb 2022
Output Space Entropy Search Framework for Multi-Objective Bayesian
  Optimization
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Syrine Belakaria
Aryan Deshwal
J. Doppa
28
16
0
13 Oct 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
404
0
06 Mar 2017
1