Hyperparameter Optimization

Contributed Talk: BORE — Bayesian Optimization by Density-Ratio Estimation

NeurIPS 2020 4th Workshop on Meta-Learning (virtual).

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Louis Tiao
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Model-based Asynchronous Hyperparameter and Neural Architecture Search featured image

Model-based Asynchronous Hyperparameter and Neural Architecture Search

We introduce a model-based method for asynchronous multi-fidelity hyperparameter and neural architecture search that combines the strengths of asynchronous Hyperband and Gaussian …

Aaron Klein
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AutoGluon

An AutoML toolkit for deep learning