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. 2412.07186
  4. Cited By
Monte Carlo Tree Search based Space Transfer for Black-box Optimization

Monte Carlo Tree Search based Space Transfer for Black-box Optimization

10 December 2024
Shukuan Wang
Ke Xue
Lei Song
Xiaobin Huang
Chao Qian
ArXiv (abs)PDFHTMLGithub (11★)

Papers citing "Monte Carlo Tree Search based Space Transfer for Black-box Optimization"

15 / 15 papers shown
Title
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
173
0
0
04 Feb 2025
Monte Carlo Tree Search based Variable Selection for High Dimensional
  Bayesian Optimization
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song
Ke Xue
Xiaobin Huang
Chaojun Qian
115
34
0
04 Oct 2022
Design-Bench: Benchmarks for Data-Driven Offline Model-Based
  Optimization
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco
Xinyang Geng
Aviral Kumar
Sergey Levine
OffRL
89
102
0
17 Feb 2022
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian
  Optimization
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
Tomoharu Iwata
BDL
47
4
0
01 Nov 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba
Josif Grabocka
BDL
98
70
0
19 Jan 2021
Learning Search Space Partition for Black-box Optimization using Monte
  Carlo Tree Search
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang
Rodrigo Fonseca
Yuandong Tian
95
128
0
01 Jul 2020
MUMBO: MUlti-task Max-value Bayesian Optimization
MUMBO: MUlti-task Max-value Bayesian Optimization
Henry B. Moss
David S. Leslie
Paul Rayson
78
34
0
22 Jun 2020
Additive Tree-Structured Covariance Function for Conditional Parameter
  Spaces in Bayesian Optimization
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
Xingchen Ma
Matthew B. Blaschko
71
7
0
21 Jun 2020
Chip Placement with Deep Reinforcement Learning
Chip Placement with Deep Reinforcement Learning
Azalia Mirhoseini
Anna Goldie
M. Yazgan
J. Jiang
Ebrahim M. Songhori
...
Quoc V. Le
James Laudon
Richard Ho
Roger Carpenter
J. Dean
OffRL
70
219
0
22 Apr 2020
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
113
1,797
0
08 Jul 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
185
3,039
0
05 Feb 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement
  Learning Algorithm
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
159
1,785
0
05 Dec 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
Zi Wang
Clement Gehring
Pushmeet Kohli
Stefanie Jegelka
UQCV
70
216
0
05 Jun 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
487
5,385
0
05 Nov 2016
Gaussian Process Optimization in the Bandit Setting: No Regret and
  Experimental Design
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
181
1,626
0
21 Dec 2009
1