Théo Galy-Fajou

According to our database, Théo Galy-Fajou authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Latent variable augmentation for approximate Bayesian inference: applications for Gaussian processes.

Théo Galy-Fajou

PhD thesis, 2023

2021

Flexible and Efficient Inference with Particles for the Variational Gaussian Approximation.

Théo Galy-Fajou, Valerio Perrone, Manfred Opper

Entropy, 2021

Adaptive Inducing Points Selection For Gaussian Processes.

Théo Galy-Fajou, Manfred Opper

CoRR, 2021

2020

Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models.

Théo Galy-Fajou, Florian Wenzel, Manfred Opper

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation.

Théo Galy-Fajou, Florian Wenzel, Christian Donner, Manfred Opper

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation.

Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Bayesian Nonlinear Support Vector Machines for Big Data.

Florian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017