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
Conference Papers Year : 2020

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

Léo Souquet
  • Function : Author
Nadiya Shvai
  • Function : Author
Arcadi Llanza
  • Function : Author
Amir Nakib
  • Function : Author
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https://hal.u-pec.fr/hal-04348568

Submitted on : Saturday, December 16, 2023-6:27:43 PM

Last modification on : Sunday, December 17, 2023-3:09:52 AM

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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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