Théo Galy-Fajou
Théo Galy-Fajou
Technische Universität Berlin
Verified email at epfl.ch
TitleCited byYear
Bayesian Nonlinear Support Vector Machines for Big Data
F Wenzel, T Galy-Fajou, M Deutsch, M Kloft
ECML 2017, 2017
152017
Efficient Gaussian process classification using Pòlya-Gamma data augmentation
F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper
AAAI 19, 2018
42018
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
T Galy-Fajou, F Wenzel, C Donner, M Opper
arXiv preprint arXiv:1905.09670, 2019
12019
Scalable logit gaussian process classification
F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper
Advances in Approximate Bayesian Inference, NIPS Workshop, 2017
12017
Scalable Multi-Class Gaussian Process Classification via Data Augmentation
T Galy-Fajou, F Wenzel, C Donner, M Opper
Fast Inference in Non-Conjugate Gaussian Process Models via Data Augmentation
F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper
Scalable Approximate Inference for the Bayesian Nonlinear Support Vector Machine
F Wenzel, M Deutsch, T Galy-Fajou, M Kloft
The system can't perform the operation now. Try again later.
Articles 1–7