Haupt-Navigation

Théo Galy-Fajou [1]

AISTATS' 20 "Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models" [6] T. Galy-Fajou, F. Wenzel, M. Opper
UAI 19' " [7]Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation" [8] T. Galy-Fajou*, F. Wenzel*, C. Donner, M. Opper
AAAI 19’ “Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation” [9], F. Wenzel*, T. Galy-Fajou*, C. Donner, M. Kloft, M. Opper
ECML 17’ “Bayesian Nonlinear Support Vector Machines for Big Data” [10], F. Wenzel, T. Galy-Fajou, M. Deutsch, M. Kloft

------ Links: ------

[1] https://theogf.github.io/

[2] http://www.ki.tu-berlin.de/fileadmin/fg135/bilder/p
ersonen/theo_galyfajou.jpg

[3] https://goo.gl/maps/J4N2MuVTcGuuLH6S9

[4] https://theogf.github.io/

[5] https://scholar.google.fr/citations?user=KKQOFDMAAA
AJ&hl=en

[6] https://arxiv.org/abs/2002.11451

[7] https://arxiv.org/abs/1905.09670

[8] https://arxiv.org/abs/1905.09670

[9] https://arxiv.org/abs/1802.06383

[10] http://ecmlpkdd2017.ijs.si/papers/paperID502.pdf

Schnellnavigation zur Seite über Nummerneingabe