Search Results for author: Louis C. Tiao

Found 3 papers, 2 papers with code

BORE: Bayesian Optimization by Density-Ratio Estimation

1 code implementation17 Feb 2021 Louis C. Tiao, Aaron Klein, Matthias Seeger, Edwin V. Bonilla, Cedric Archambeau, Fabio Ramos

Bayesian optimization (BO) is among the most effective and widely-used blackbox optimization methods.

Density Ratio Estimation

Model-based Asynchronous Hyperparameter and Neural Architecture Search

3 code implementations24 Mar 2020 Aaron Klein, Louis C. Tiao, Thibaut Lienart, Cedric Archambeau, Matthias Seeger

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.

Hyperparameter Optimization Neural Architecture Search

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference

no code implementations5 Jun 2018 Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos

We formalize the problem of learning interdomain correspondences in the absence of paired data as Bayesian inference in a latent variable model (LVM), where one seeks the underlying hidden representations of entities from one domain as entities from the other domain.

Bayesian Inference Variational Inference

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