Louis C. Tiao

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Bayesian Inference

Top Venues

Publications

Louis C. Tiao, Vincent Dutordoir, Victor Picheny
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes. ICML (2023)
Louis C. Tiao, Vincent Dutordoir, Victor Picheny
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes. CoRR (2023)
Rafael Oliveira, Louis C. Tiao, Fabio Ramos
Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR (2022)
Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos
Batch Bayesian optimisation via density-ratio estimation with guarantees. NeurIPS (2022)
Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
BORE: Bayesian Optimization by Density-Ratio Estimation. CoRR (2021)
Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cédric Archambeau, Fabio Ramos
BORE: Bayesian Optimization by Density-Ratio Estimation. ICML (2021)
Louis C. Tiao, Aaron Klein, Cédric Archambeau, Matthias W. Seeger
Model-based Asynchronous Hyperparameter Optimization. CoRR (2020)
Pantelis Elinas, Edwin V. Bonilla, Louis C. Tiao
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings. NeurIPS (2020)
Louis C. Tiao, Pantelis Elinas, Harrison Nguyen, Edwin V. Bonilla
Variational Spectral Graph Convolutional Networks. CoRR (2019)
Louis C. Tiao, Edwin V. Bonilla, Fabio Ramos
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference. CoRR (2018)