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1. cours2019-Intro_aux_reseaux_de_neurones cours2019-Intro_aux_reseaux_de_neurones Public

   Matériel rédigé pour un cours/td de 30h d'introduction aux réseaux de neurones à l'intention élèves de Master 2 en statistiques (automne 2019, Université de Lille, Département de Mathématiques).

   Jupyter Notebook 8 1

2. gletarte/pbrff gletarte/pbrff Public

   Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior

   Jupyter Notebook 4

3. GRAAL-Research/domain_adversarial_neural_network GRAAL-Research/domain_adversarial_neural_network Public

   Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)

   Python 139 40

4. GRAAL-Research/domain_adaptation_of_linear_classifiers GRAAL-Research/domain_adaptation_of_linear_classifiers Public

   Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573)

   Python 10 6

5. GRAAL-Research/majority-vote-bounds GRAAL-Research/majority-vote-bounds Public

   PAC-Bayesian bounds computation related to "Risk Bounds for the Majority Vote [...]" (JMLR 2015)

   Python 4 2

6. PAC-Bayesian-Theory-Meets-Bayesian-Inference PAC-Bayesian-Theory-Meets-Bayesian-Inference Public

   Code to related to my NIPS 2016 paper

   Python 10 2