Search Results for author: Huibin Shen

Found 7 papers, 1 papers with code

Automatic Termination for Hyperparameter Optimization

1 code implementation16 Apr 2021 Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau

Across an extensive range of real-world HPO problems and baselines, we show that our termination criterion achieves a better trade-off between the test performance and optimization time.

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 +2

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.

Thompson Sampling Transfer Learning

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