Advancing Bayesian Optimization via Learning Correlated Latent Space

31 October 2023

Papers citing "Advancing Bayesian Optimization via Learning Correlated Latent Space"

6 / 6 papers shown

Title
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 21 2 0 10 Apr 2025
Local Latent Space Bayesian Optimization over Structured Inputs N. Maus Haydn Jones Juston Moore Matt J. Kusner John Bradshaw J. Gardner BDL 47 69 0 28 Jan 2022
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning Lei Tian Yongqiang Tang Liangchen Hu Zhida Ren Wensheng Zhang 15 60 0 20 Mar 2020
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 29 64 0 08 Oct 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 184 878 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 211 1,329 0 12 Feb 2018