Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

4 October 2022

Lei Song

Papers citing "Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization"

22 / 22 papers shown

Title
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 113 0 0 02 Apr 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 36 0 0 31 Dec 2024
Monte Carlo Tree Search based Space Transfer for Black-box Optimization Shukuan Wang Ke Xue Lei Song Xiaobin Huang Chao Qian 68 1 0 10 Dec 2024
Improve Value Estimation of Q Function and Reshape Reward with Monte Carlo Tree Search Jiamian Li 25 0 0 15 Oct 2024
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 44 4 0 07 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 51 5 0 06 Jun 2024
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models Bingdong Li Zixiang Di Yongfan Lu Hong Qian Feng Wang Peng Yang Ke Tang Aimin Zhou DiffM 31 1 0 14 May 2024
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes Minbiao Han Fengxue Zhang Yuxin Chen 40 3 0 14 May 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 54 5 0 18 Apr 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo Huong Ha Jeffrey Chan Vu-Linh Nguyen Hongyu Zhang 31 2 0 05 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 34 17 0 03 Feb 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang Lei Song Ke Xue Chao Qian 42 3 0 16 Dec 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 33 2 0 03 Nov 2023
High-dimensional Bayesian Optimization with Group Testing E. Hellsten Carl Hvarfner Leonard Papenmeier Luigi Nardi 43 3 0 05 Oct 2023
Racing Control Variable Genetic Programming for Symbolic Regression Nan Jiang Yexiang Xue 24 2 0 13 Sep 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas Desautels Yuxin Chen 32 6 0 25 Jul 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 35 12 0 02 Jul 2023
Bayesian Optimisation Against Climate Change: Applications and Benchmarks Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 49 1 0 07 Jun 2023
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Anthony Bardou Patrick Thiran Thomas Begin 24 4 0 31 May 2023
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection Yi Shen Carl Kingsford 50 8 0 20 Sep 2021
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 78 111 0 31 Jan 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 88 147 0 28 Jan 2020