Reparametrized Bayesian Optimization and Machine Learning for Discrete Domains

The folder contains: the zip folder "data.zip", with the results relative to our algorithm(s) and all the comparative approaches; the "export_results" files, two Python codes to extract the CSV files with the results; the "plots.py" file, to replicate the plots of the paper.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-04
DOI
https://doi.org/10.5281/zenodo.14274543
Primary Topic
Gaussian Processes and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Reparametrized Bayesian Optimization and Machine Learning for Discrete Domains

Zenodo (CERN European Organization for Nuclear Research)
Gaussian Processes and Bayesian Inference
article

Reparametrized Bayesian Optimization and Machine Learning for Discrete Domains

article en

Abstract

The folder contains: the zip folder "data.zip", with the results relative to our algorithm(s) and all the comparative approaches; the "export_results" files, two Python codes to extract the CSV files with the results; the "plots.py" file, to replicate the plots of the paper.

Zenodo (CERN European Organization for Nuclear Research)
Politecnico di Milano (IT)
Openalex Percentile: Top 57%
Gaussian Processes and Bayesian Inference
DOIOpen Access PDFOpenAlex
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Reparametrized Bayesian Optimization and Machine Learning for Discrete Domains · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS