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Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate.

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Title: Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate.
Authors: Saeed, Muhammad Amir1 (AUTHOR) m.saeed@campus.unimib.it, Candelieri, Antonio1 (AUTHOR) antonio.candelieri@unimib.it
Source: Algorithms. May2026, Vol. 19 Issue 5, p361. 35p.
Database: Academic Search Ultimate
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  Data: Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate.
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. May2026, Vol. 19 Issue 5, p361. 35p.
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        Value: 10.3390/a19050361
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        Text: English
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      – TitleFull: Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate.
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              Text: May2026
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