Model-based Asynchronous Hyperparameter and Neural Architecture Search
We introduce a model-based asynchronous multi-fidelity method for hyperparameter and neural architecture search that combines the strengths of asynchronous Hyperband and Gaussian process-based Bayesian optimization. At the heart of our method is a …
A Cheatsheet for Sparse Variational Gaussian Processes
A summary of notation, identities and derivations for the sparse variational Gaussian process (SVGP) framework.