Search Results for author: Huibin Shen

Found 6 papers, 0 papers with code

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

no code implementations16 Apr 2021 Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau

In practice, however, an improvement of the validation metric may not translate in better predictive performance on a test set, especially when tuning models trained on small datasets.

Hyperparameter Optimization

A Quantile-based Approach for Hyperparameter Transfer Learning

no code implementations ICML 2020 David Salinas, Huibin Shen, Valerio Perrone

In this work, we introduce a novel approach to achieve transfer learning across different \emph{datasets} as well as different \emph{objectives}.

Hyperparameter Optimization Neural Architecture Search +1

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

no code implementations NeurIPS 2019 Valerio Perrone, Huibin Shen, Matthias Seeger, Cedric Archambeau, Rodolphe Jenatton

Despite its simplicity, we show that our approach considerably boosts BO by reducing the size of the search space, thus accelerating the optimization of a variety of black-box optimization problems.

Hyperparameter Optimization Transfer Learning

A Copula approach for hyperparameter transfer learning

no code implementations25 Sep 2019 David Salinas, Huibin Shen, Valerio Perrone

In this work, we introduce a novel approach to achieve transfer learning across different datasets as well as different metrics.

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