Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic
Reparameterization

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

18 October 2022

Xingchen Wan

Maximilian Balandat

Michael A. Osborne

Papers citing "Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization"

9 / 9 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
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 33 0 0 10 Sep 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 57 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 42 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 23 1 0 01 Dec 2023
Generalizing Bayesian Optimization with Decision-theoretic Entropies W. Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 45 11 0 04 Oct 2022
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 47 104 0 26 Mar 2020
Bayesian optimization of variable-size design space problems J. Pelamatti Loïc Brevault M. Balesdent El-Ghazali Talbi Yannick Guerin 35 29 0 06 Mar 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 258 36,371 0 25 Aug 2016