A survey and benchmark of high-dimensional Bayesian optimization of
discrete sequences

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

7 June 2024

Miguel González Duque

Richard Michael

Yevgen Zainchkovskyy

Søren Hauberg

Papers citing "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"

9 / 9 papers shown

Title
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 30 0 0 10 Sep 2024
Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer Deqian Kong Yuhao Huang Jianwen Xie Edouardo Honig Ming Xu ... Pei Lin Sanping Zhou Sheng Zhong Nanning Zheng Ying Nian Wu 14 1 0 27 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 19 17 0 03 Feb 2024
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 19 4 0 04 May 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings Aryan Deshwal Sebastian Ament Maximilian Balandat E. Bakshy J. Doppa David Eriksson 37 19 0 03 Mar 2023
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
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design Miguel García-Ortegón G. Simm Austin Tripp José Miguel Hernández-Lobato A. Bender S. Bacallado 30 73 0 29 Oct 2021
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 35 94 0 02 Mar 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 64 108 0 31 Jan 2020