ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.00947
  4. Cited By
Linear Embedding-based High-dimensional Batch Bayesian Optimization
  without Reconstruction Mappings

Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings

2 November 2022
Shuhei A Horiguchi
Tomoharu Iwata
Taku Tsuzuki
Yosuke Ozawa
ArXivPDFHTML

Papers citing "Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings"

3 / 3 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
42
4
0
07 Jun 2024
Re-Examining Linear Embeddings for High-Dimensional Bayesian
  Optimization
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Benjamin Letham
Roberto Calandra
Akshara Rai
E. Bakshy
73
109
0
31 Jan 2020
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,122
0
25 Jul 2012
1