HyperFDA: A Bi-level optimization approach to Neural Architecture Search and Hyperparameters Optimization with Fractal Decomposition-based Algorithm - Université Paris-Est-Créteil-Val-de-Marne Access content directly
Conference Papers Year : 2020

HyperFDA: A Bi-level optimization approach to Neural Architecture Search and Hyperparameters Optimization with Fractal Decomposition-based Algorithm

Léo Souquet
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Nadiya Shvai
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Arcadi Llanza
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hal-04348568 , version 1 (16-12-2023)

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Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib. HyperFDA: A Bi-level optimization approach to Neural Architecture Search and Hyperparameters Optimization with Fractal Decomposition-based Algorithm. In Proc.of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO'20), Jul 2020, Cancún, Mexico. ⟨10.1145/3377929.3390056⟩. ⟨hal-04348568⟩

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