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Théo Galy-Fajou
Théo Galy-Fajou
Verified email at tu-berlin.de - Homepage
Title
Cited by
Cited by
Year
Efficient Gaussian process classification using Pòlya-Gamma data augmentation
F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper
AAAI 19, 2018
392018
Bayesian Nonlinear Support Vector Machines for Big Data
F Wenzel, T Galy-Fajou, M Deutsch, M Kloft
ECML 2017, 2017
392017
Multi-class gaussian process classification made conjugate: Efficient inference via data augmentation
T Galy-Fajou, F Wenzel, C Donner, M Opper
UAI 2019, 2019
282019
Adaptive inducing points selection for gaussian processes
T Galy-Fajou, M Opper
arXiv preprint arXiv:2107.10066, 2021
152021
Flexible and efficient inference with particles for the variational Gaussian approximation
T Galy-Fajou, V Perrone, M Opper
Entropy 23 (8), 990, 2021
122021
Automated augmented conjugate inference for non-conjugate gaussian process models
T Galy-Fajou, F Wenzel, M Opper
International Conference on Artificial Intelligence and Statistics, 3025-3035, 2020
52020
Scalable multi-class Gaussian process classification via data augmentation
T Galy-Fajou, F Wenzel, C Donner, M Opper
Proc. NIPS Workshop Approx. Inference, 1-12, 2018
22018
Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods
N Zaki, T Galy-Fajou, M Opper
Third Symposium on Advances in Approximate Bayesian Inference, 2020
12020
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 Approximate Inference for the Bayesian Nonlinear Support Vector Machine
F Wenzel, M Deutsch, T Galy-Fajou, M Kloft
Proceedings of the 30th Conference on Neural Information Processing Systems …, 2016
12016
Latent Variable Augmentation for Approximate Bayesian Inference: Applications for Gaussian Processses
T Galy-Fajou
Technische Universität Berlin, 2023
2023
Latent variable augmentation for approximate Bayesian inference
T Galy-Fajou
2023
Gaussian Density Parametrization Flow: Particle and Stochastic Approaches
T Galy-Fajou, V Perrone, M Opper
Third Symposium on Advances in Approximate Bayesian Inference, 2020
2020
Fast Inference in Non-Conjugate Gaussian Process Models via Data Augmentation
F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper
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