Louis Tiao
Louis Tiao
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Gaussian Processes
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
Despite their many desirable properties, Gaussian processes (GPs) are often compared unfavorably to deep neural networks (NNs) for …
Louis Tiao
,
Vincent Dutordoir
,
Victor Picheny
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An Illustrated Guide to the Knowledge Gradient Acquisition Function
A short illustrated reference guide to the Knowledge Gradient acquisition function with an implementation from scratch in TensorFlow Probability.
Louis Tiao
Last updated on Oct 22, 2022
7 min read
technical
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 process-based Bayesian optimization, achieving substantial speed-ups over current state-of-the-art methods on challenging benchmarks for tabular data, image classification, and language modeling.
Aaron Klein
,
Louis Tiao
,
Thibaut Lienart
,
Cédric Archambeau
,
Matthias Seeger
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A Handbook for Sparse Variational Gaussian Processes
A summary of notation, identities and derivations for the sparse variational Gaussian process (SVGP) framework.
Louis Tiao
Last updated on Oct 19, 2022
21 min read
technical
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