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

1 July 2020

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

21 / 21 papers shown

Title
Policy Guided Tree Search for Enhanced LLM Reasoning Yang Li LRM 53 0 0 04 Feb 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 129 0 0 31 Dec 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 Feb 2024
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas A. Desautels Yuxin Chen 30 6 0 25 Jul 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 14 36 0 22 Apr 2023
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 28 7 0 16 Nov 2022
Local Bayesian optimization via maximizing probability of descent Quan Nguyen Kaiwen Wu J. Gardner Roman Garnett 12 23 0 21 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 33 54 0 16 Oct 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 16 36 0 22 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing Larkin Liu 30 1 0 13 Jul 2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution Lixue Cheng Ziyi Yang Chang-Yu Hsieh Ben Liao Shengyu Zhang 25 6 0 19 May 2022
Self-focusing virtual screening with active design space pruning David E. Graff Matteo Aldeghi Joseph A. Morrone K. E. Jordan Edward O. Pyzer-Knapp Connor W. Coley 24 24 0 03 May 2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models Yunzhuo Liu Bo Jiang Tian Guo Zimeng Huang Wen-ping Ma Xinbing Wang Chenghu Zhou 19 9 0 28 Apr 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 16 15 0 30 Mar 2022
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research Chris Cummins Bram Wasti Jiadong Guo Brandon Cui Jason Ansel ... Jia-Wei Liu O. Teytaud Benoit Steiner Yuandong Tian Hugh Leather 31 68 0 17 Sep 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 69 17 0 23 Apr 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 22 288 0 20 Apr 2021
Neural Feature Search for RGB-Infrared Person Re-Identification Yehansen Chen Lin Wan Zhihang Li Qianyan Jing Zongyuan Sun 39 138 0 06 Apr 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014