Louis Tiao
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PhD thesis
Probabilistic ML in the age of deep learning
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Publications
Jihao Andreas Lin
Co-first author
,
Sebastian Ament
Co-first author
,
Louis Tiao
,
David Eriksson
,
Maximilian Balandat
,
Eytan Bakshy
(2026).
Empirical Gaussian Processes
. In
ICML 2026
.
PDF
Miles Olson
Co-first author
,
Elizabeth Santorella
Co-first author
,
Louis Tiao
Co-first author
,
Sait Cakmak
Co-first author
,
David Eriksson
,
Mia Garrard
,
Sam Daulton
,
Maximilian Balandat
,
Eytan Bakshy
,
Elena Kashtelyan
,
Zhiyuan Jerry Lin
,
Sebastian Ament
,
Bernard Beckerman
,
Eric Onofrey
,
Paschal Igusti
,
Cristian Lara
,
Benjamin Letham
,
Cesar Cardoso
,
Shiyun Sunny Shen
,
Andy Chenyuan Lin
,
Matthew Grange
(2025).
Ax: A Platform for Adaptive Experimentation
. In
AutoML 2025
(ABCD Track).
PDF
Code
Website
Meta Engineering
Louis Tiao
(2023).
Probabilistic Machine Learning in the Age of Deep Learning: New Perspectives for Gaussian Processes, Bayesian Optimization and Beyond (PhD Thesis)
.
PDF
USyd Library
Full Acknowledgements
Louis Tiao
,
Vincent Dutordoir
,
Victor Picheny
(2023).
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
. In
ICML2023
. Accepted as
Oral Presentation
.
Conference Proceeding
PDF
Code
Poster
Slides
Cite
Rafael Oliveira
,
Louis Tiao
,
Fabio Ramos
(2022).
Batch Bayesian Optimisation via Density-ratio Estimation with Guarantees
. In
NeurIPS2022
.
PDF
Code
Louis Tiao
,
Aaron Klein
,
Matthias Seeger
,
Edwin V. Bonilla
,
Cédric Archambeau
,
Fabio Ramos
(2021).
BORE: Bayesian Optimization by Density-Ratio Estimation
. In
ICML2021
. Accepted as
Oral Presentation
(Top 3%).
Conference Proceeding
Supplementary material
PDF
Code
Poster
Slides
Video
Cite
Matthias Seeger
,
Aaron Klein
,
Thibaut Lienart
,
Louis Tiao
(2021).
Simulation-based Scoring for Model-based Asynchronous Hyperparameter and Neural Architecture Search
. At
ICLR 2021
Workshop on Neural Architecture Search.
Louis Tiao
,
Aaron Klein
,
Cédric Archambeau
,
Edwin V. Bonilla
,
Matthias Seeger
,
Fabio Ramos
(2020).
Bayesian Optimization by Density Ratio Estimation
. At
NeurIPS 2020
MetaLearn Workshop. Accepted as
Contributed Talk
(best 3 submissions)..
PDF
Pantelis Elinas
Equal contribution
,
Edwin V. Bonilla
Equal contribution
,
Louis Tiao
(2020).
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
. In
NeurIPS2020
. Accepted as
Spotlight Presentation
(Top 3%).
PDF
Code
Dataset
Video
Cite
Aaron Klein
Equal contribution
,
Louis Tiao
Equal contribution
,
Thibaut Lienart
,
Cédric Archambeau
,
Matthias Seeger
(2020).
Model-based Asynchronous Hyperparameter and Neural Architecture Search
.
PDF
Code
Video
Cite
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