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. 2012.13088
  4. Cited By
High-Dimensional Bayesian Optimization via Tree-Structured Additive
  Models

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

24 December 2020
E. Han
Ishank Arora
Jonathan Scarlett
    TPM
    AI4CE
ArXivPDFHTML

Papers citing "High-Dimensional Bayesian Optimization via Tree-Structured Additive Models"

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
42
4
0
07 Jun 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions
Vanilla Bayesian Optimization Performs Great in High Dimensions
Carl Hvarfner
E. Hellsten
Luigi Nardi
32
17
0
03 Feb 2024
Optimistic Optimization of Gaussian Process Samples
Optimistic Optimization of Gaussian Process Samples
Julia Grosse
Cheng Zhang
Philipp Hennig
GP
16
0
0
02 Sep 2022
Tree ensemble kernels for Bayesian optimization with known constraints
  over mixed-feature spaces
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCV
BDL
35
10
0
02 Jul 2022
1