ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.00708
  4. Cited By
Learning Search Space Partition for Black-box Optimization using Monte
  Carlo Tree Search
v1v2 (latest)

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

1 July 2020
Linnan Wang
Rodrigo Fonseca
Yuandong Tian
ArXiv (abs)PDFHTML

Papers citing "Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search"

50 / 82 papers shown
We Still Don't Understand High-Dimensional Bayesian Optimization
We Still Don't Understand High-Dimensional Bayesian Optimization
Colin Doumont
Donney Fan
Natalie Maus
Jacob R. Gardner
Henry B. Moss
Geoff Pleiss
100
1
0
28 Nov 2025
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
Ke Xue
Ruo-Tong Chen
Rong-Xi Tan
Xi Lin
Yunqi Shi
Siyuan Xu
Mingxuan Yuan
Chao Qian
153
2
0
27 Oct 2025
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions
Yuanhao Lai
Pengfei Zheng
Chenpeng Ji
Yan Li
Songhan Zhang
Rutao Zhang
Z. Wang
Yunfei Du
106
0
0
26 Oct 2025
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System
Lingli Ge
Zhehong Ai
Pengxiang Cai
S. Sun
Shanya Lu
...
Dongzhan Zhou
Tao XU
Tao XU
Yuqiang Li
Shufei Zhang
223
1
0
10 Sep 2025
Enhancing Trust-Region Bayesian Optimization via Newton Methods
Enhancing Trust-Region Bayesian Optimization via Newton Methods
Quanlin Chen
Yiyu Chen
Jing Huo
Tianyu Ding
Yang Gao
Y. Chen
122
0
0
25 Aug 2025
MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning
MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning
Lam Ngo
Huong Ha
Jeffrey Chan
Hongyu Zhang
129
0
0
09 Aug 2025
Scalable neural network-based blackbox optimization
Scalable neural network-based blackbox optimizationStructural And Multidisciplinary Optimization (SMO), 2025
Pavankumar Koratikere
Leifur Leifsson
211
0
0
05 Aug 2025
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU
Petar Jakuš
Hrvoje Džapo
342
8
0
10 Jun 2025
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
Leonard Papenmeier
Luigi Nardi
247
0
0
27 May 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
376
3
0
07 Mar 2025
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge ServersIEEE transactions on computers (IEEE Trans. Comput.), 2025
Varatheepan Paramanayakam
Andreas Karatzas
Dimitrios Stamoulis
Iraklis Anagnostopoulos
267
1
0
06 Mar 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
Taeyoung Yun
Kiyoung Om
Jaewoo Lee
Sujin Yun
Jinkyoo Park
447
6
0
24 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
511
4
0
04 Feb 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Safe Bayesian Optimization for the Control of High-Dimensional Embodied SystemsConference on Robot Learning (CoRL), 2024
Yunyue Wei
Zeji Yi
Hongda Li
Saraswati Soedarmadji
Yanan Sui
350
3
0
31 Dec 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Scalable Bayesian Optimization via Focalized Sparse Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2024
Yunyue Wei
Vincent Zhuang
Saraswati Soedarmadji
Yanan Sui
872
6
0
29 Dec 2024
Monte Carlo Tree Search based Space Transfer for Black-box Optimization
Monte Carlo Tree Search based Space Transfer for Black-box OptimizationNeural Information Processing Systems (NeurIPS), 2024
Shukuan Wang
Ke Xue
Lei Song
Xiaobin Huang
Chao Qian
313
7
0
10 Dec 2024
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving
  Systems by Search Space Quantization
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
Xinzheng Wu
Junyi Chen
Xingyu Xing
Jian Sun
Ye Tian
Lihao Liu
Yong Shen
368
2
0
30 Nov 2024
Swine Diet Design using Multi-objective Regionalized Bayesian
  Optimization
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization
Gabriel D. Uribe-Guerra
Danny A. Múnera-Ramírez
Julián D. Arias-Londoño
205
0
0
19 Sep 2024
Augmented Bayesian Policy Search
Augmented Bayesian Policy Search
Mahdi Kallel
Debabrota Basu
R. Akrour
Carlo DÉramo
207
4
0
05 Jul 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search
  Framework
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao
Yunzhuo Liu
Bo Jiang
Tian Guo
368
7
0
03 Jun 2024
Multi-Objective Neural Architecture Search by Learning Search Space
  Partitions
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
Yiyang Zhao
Linnan Wang
Tian Guo
398
1
0
01 Jun 2024
Model-Based Diffusion for Trajectory Optimization
Model-Based Diffusion for Trajectory Optimization
Chaoyi Pan
Zeji Yi
Guanya Shi
Guannan Qu
272
41
0
28 May 2024
Derivative-free tree optimization for complex systems
Derivative-free tree optimization for complex systems
Ye Wei
Bo Peng
Ruiwen Xie
Yangtao Chen
Yu Qin
Peng Wen
Stefan Bauer
Po-Yen Tung
74
0
0
05 Apr 2024
Qubit-Wise Architecture Search Method for Variational Quantum Circuits
Qubit-Wise Architecture Search Method for Variational Quantum Circuits
Jialin Chen
Zhiqiang Cai
Ke Xu
Di Wu
Wei Cao
177
2
0
07 Mar 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization
  Code Generation
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation
Zeyuan Ma
Hongshu Guo
Jiacheng Chen
Guojun Peng
Zhiguang Cao
Yining Ma
Yue-Jiao Gong
SyDaALM
361
47
0
02 Mar 2024
Voronoi Candidates for Bayesian Optimization
Voronoi Candidates for Bayesian Optimization
Nathan Wycoff
John W. Smith
Annie S. Booth
R. Gramacy
271
4
0
07 Feb 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation
  Strategy
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
Lam Ngo
Huong Ha
Jeffrey Chan
Vu-Linh Nguyen
Hongyu Zhang
209
7
0
05 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions
Vanilla Bayesian Optimization Performs Great in High Dimensions
Carl Hvarfner
E. Hellsten
Luigi Nardi
436
73
0
03 Feb 2024
Sample-and-Bound for Non-Convex Optimization
Sample-and-Bound for Non-Convex OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2024
Yaoguang Zhai
Zhizhen Qin
Sicun Gao
131
1
0
09 Jan 2024
Improving sample efficiency of high dimensional Bayesian optimization
  with MCMC
Improving sample efficiency of high dimensional Bayesian optimization with MCMC
Zeji Yi
Yunyue Wei
Chu Xin Cheng
Kaibo He
Yanan Sui
213
8
0
05 Jan 2024
Image Classifier Based Generative Method for Planar Antenna Design
Image Classifier Based Generative Method for Planar Antenna Design
Yang Zhong
W. Dou
A. Cohen
Diaá Bisharat
Yuandong Tian
Jiang Zhu
Qing Huo Liu
139
0
0
16 Dec 2023
Constrained Bayesian Optimization Under Partial Observations: Balanced
  Improvements and Provable Convergence
Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable ConvergenceAAAI Conference on Artificial Intelligence (AAAI), 2023
Shengbo Wang
Ke Li
265
19
0
06 Dec 2023
On the Hyperparameter Loss Landscapes of Machine Learning Models: An
  Exploratory Study
On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory StudyKnowledge Discovery and Data Mining (KDD), 2023
Mingyu Huang
Ke Li
290
5
0
23 Nov 2023
Efficient Planning with Latent Diffusion
Efficient Planning with Latent DiffusionInternational Conference on Learning Representations (ICLR), 2023
Wenhao Li
DiffM
428
10
0
30 Sep 2023
Optimizing with Low Budgets: a Comparison on the Black-box Optimization
  Benchmarking Suite and OpenAI Gym
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI GymIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2023
Elena Raponi
Nathanaël Carraz Rakotonirina
Jérémy Rapin
Carola Doerr
O. Teytaud
581
9
0
29 Sep 2023
HypBO: Accelerating Black-Box Scientific Experiments Using Experts'
  Hypotheses
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
A. Cissé
Xenophon Evangelopoulos
Sam Carruthers
V. Gusev
Andrew I. Cooper
281
7
0
22 Aug 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive
  Level-Set Estimation
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set EstimationInternational Conference on Machine Learning (ICML), 2023
Fengxue Zhang
Jialin Song
James Bowden
Alexander Ladd
Yisong Yue
Thomas Desautels
Yuxin Chen
232
8
0
25 Jul 2023
Continuation Path Learning for Homotopy Optimization
Continuation Path Learning for Homotopy OptimizationInternational Conference on Machine Learning (ICML), 2023
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
336
17
0
24 Jul 2023
Carbon-Efficient Neural Architecture Search
Carbon-Efficient Neural Architecture Search
Yiyang Zhao
Tian Guo
235
6
0
09 Jul 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for
  Combinatorial and Mixed Spaces
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed SpacesNeural Information Processing Systems (NeurIPS), 2023
Leonard Papenmeier
Luigi Nardi
Matthias Poloczek
571
27
0
02 Jul 2023
The Behavior and Convergence of Local Bayesian Optimization
The Behavior and Convergence of Local Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2023
Kaiwen Wu
Kyurae Kim
Roman Garnett
Jacob R. Gardner
505
18
0
24 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 SubspacesNeural Information Processing Systems (NeurIPS), 2023
Leonard Papenmeier
Luigi Nardi
Matthias Poloczek
188
56
0
22 Apr 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan
Guochen Zhou
Chang Shao
Zhuowei Wang
Mingyang Feng
Yuwei Huang
Yajing Tan
Yijun Yang
Qi Zhao
Yuhui Shi
391
8
0
12 Dec 2022
Global Optimization with Parametric Function Approximation
Global Optimization with Parametric Function ApproximationInternational Conference on Machine Learning (ICML), 2022
Chong Liu
Yu Wang
417
9
0
16 Nov 2022
Monte Carlo Tree Descent for Black-Box Optimization
Monte Carlo Tree Descent for Black-Box OptimizationNeural Information Processing Systems (NeurIPS), 2022
Yaoguang Zhai
Sicun Gao
107
5
0
01 Nov 2022
Hierarchical Automatic Power Plane Generation with Genetic Optimization
  and Multilayer Perceptron
Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer PerceptronDesign Automation Conference (DAC), 2022
Haiguang Liao
Vinay C. Patil
Xuliang Dong
Devika Shanbhag
Elias Fallon
Taylor Hogan
Mirko Spasojevic
Levent Burak Kara
149
2
0
28 Oct 2022
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear
  Optimization Problems
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization ProblemsInternational Conference on Machine Learning (ICML), 2022
Aaron Ferber
Taoan Huang
Daochen Zha
M. Schubert
Benoit Steiner
B. Dilkina
Yuandong Tian
187
24
0
22 Oct 2022
Local Bayesian optimization via maximizing probability of descent
Local Bayesian optimization via maximizing probability of descentNeural Information Processing Systems (NeurIPS), 2022
Quan Nguyen
Kaiwen Wu
Jacob R. Gardner
Roman Garnett
273
31
0
21 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Pareto Set Learning for Expensive Multi-Objective OptimizationNeural Information Processing Systems (NeurIPS), 2022
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
269
88
0
16 Oct 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional
  Bayesian Optimization
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian OptimizationNeural Information Processing Systems (NeurIPS), 2022
Lei Song
Ke Xue
Xiaobin Huang
Chaojun Qian
301
48
0
04 Oct 2022
12
Next
Page 1 of 2