Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings

3 March 2023

Papers citing "Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings"

6 / 6 papers shown

Title
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 32 0 0 27 Sep 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 63 0 0 24 Jun 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
A Bayesian approach for prompt optimization in pre-trained language models Antonio Sabbatella Andrea Ponti Antonio Candelieri I. Giordani F. Archetti 31 1 0 01 Dec 2023
Local Latent Space Bayesian Optimization over Structured Inputs Natalie Maus Haydn Thomas Jones Juston Moore Matt J. Kusner John Bradshaw Jacob R. Gardner BDL 51 69 0 28 Jan 2022
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 73 110 0 31 Jan 2020