Théo Galy-Fajou

Joined

March 2019

Names

Théo Galy-Fajou (Preferred)

Emails

****@gmail.com (Confirmed)

,

****@tu-berlin.de (Confirmed)

Personal Links

Career & Education History

PhD student

TU Berlin (tu-berlin.de)

2018 – 2022

Advisors, Relations & Conflicts

Coauthor

Present

Coauthor

Christian Donner

Present

PhD Advisor

Present

Expertise

gaussian process

Present

bayesian inference

,

variational inference

Present

Publications

Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods
Nikolai Zaki, Théo Galy-Fajou, Manfred Opper
- Published: 21 Dec 2020, Last Modified: 05 May 2023
- AABI2020
- Readers: Everyone
Gaussian Density Parametrization Flow: Particle and Stochastic Approaches
Théo Galy-Fajou, Valerio Perrone, Manfred Opper
- Published: 21 Dec 2020, Last Modified: 05 May 2023
- AABI2020
- Readers: Everyone
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
Théo Galy-Fajou, Florian Wenzel, Manfred Opper
- 2020 (modified: 19 Jul 2021)
- AISTATS 2020
- Readers: Everyone
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
Florian Wenzel, Théo Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper
- 2018 (modified: 18 Apr 2024)
- CoRR 2018
- Readers: Everyone
Bayesian Nonlinear Support Vector Machines for Big Data
Florian Wenzel, Théo Galy-Fajou, Matthäus Deutsch, Marius Kloft
- 2017 (modified: 19 Jul 2021)
- ECML/PKDD (1) 2017
- Readers: Everyone

Co-Authors