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Overfitting in Bayesian Optimization: an empirical study and early-stopping solution


Apr 16, 2021
Anastasia Makarova , Huibin Shen , Valerio Perrone , Aaron Klein , Jean Baptiste Faddoul , Andreas Krause , Matthias Seeger , Cedric Archambeau


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Amazon SageMaker Autopilot: a white box AutoML solution at scale


Dec 16, 2020
Piali Das , Valerio Perrone , Nikita Ivkin , Tanya Bansal , Zohar Karnin , Huibin Shen , Iaroslav Shcherbatyi , Yotam Elor , Wilton Wu , Aida Zolic , Thibaut Lienart , Alex Tang , Amr Ahmed , Jean Baptiste Faddoul , Rodolphe Jenatton , Fela Winkelmolen , Philip Gautier , Leo Dirac , Andre Perunicic , Miroslav Miladinovic , Giovanni Zappella , Cédric Archambeau , Matthias Seeger , Bhaskar Dutt , Laurence Rouesnel


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Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization


Dec 15, 2020
Valerio Perrone , Huibin Shen , Aida Zolic , Iaroslav Shcherbatyi , Amr Ahmed , Tanya Bansal , Michele Donini , Fela Winkelmolen , Rodolphe Jenatton , Jean Baptiste Faddoul , Barbara Pogorzelska , Miroslav Miladinovic , Krishnaram Kenthapadi , Matthias Seeger , Cédric Archambeau


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A Copula approach for hyperparameter transfer learning


Sep 30, 2019
David Salinas , Huibin Shen , Valerio Perrone


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Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning


Sep 27, 2019
Valerio Perrone , Huibin Shen , Matthias Seeger , Cedric Archambeau , Rodolphe Jenatton


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