Exploring Surrogate Regression Models For Automatic Algorithm Configuration
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- Surrogate
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- Dr. Kuanshi Zhong | May 6, 2022 The Probabilistic Learning on Manifolds (PLoM)
In-Depth Information on Surrogate Regression Models For Automatic Algorithm Configuration
Speaker: Meinolf Sellmann, senior manager of Cognitive Data Curation at IBM Research Our objective is to tune Surrogate models Linear regression Speaker: Juli Mueller U.S. National Renewable Energy Laboratory Summary: Computationally expensive black-box optimization ...
Thought Leader: Dr. Bobby Gramacy is a Professor of Statistics at Virginia Tech and a Fellow of the American Statistical ...
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