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Pinned repositories

  1. GRAAL-Research/domain_adversarial_neural_network

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

    Python 65 28

  2. GRAAL-Research/domain_adaptation_of_linear_classifiers

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

    Python 3 3

  3. GRAAL-Research/majority-vote-bounds

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

    Python 1

  4. PAC-Bayesian-Theory-Meets-Bayesian-Inference

    Code to related to my NIPS 2016 paper

    Python 4

  5. cours2018-Intro_a_Python

    Matériel rédigé pour un cours/td de 6h d'introduction à Python à l'intention élèves de Master 2 en statistiques (septembre 2018, Université de Lille, Département de Mathématiques).

    Jupyter Notebook

7 contributions in the last year

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Contribution activity

September 2018

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