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Semi-supervised Embedding Learning for High-dimensional Bayesian
  Optimization

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

29 May 2020
Jingfan Chen
Guanghui Zhu
Chun Yuan
Yihua Huang
ArXivPDFHTML

Papers citing "Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization"

4 / 4 papers shown
Title
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
46
4
0
07 Jun 2024
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with
  Optimized Unlabeled Data Sampling
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Y. Yin
Yu Wang
Gang Xu
37
4
0
04 May 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in
  Nested Subspaces
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier
Luigi Nardi
Matthias Poloczek
27
36
0
22 Apr 2023
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
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