:orphan:

|rss_image| :ref:`<== <ap-cat-biblio-0>`  **biblio - 2/2** :ref:`Blog <ap-main-0>` :ref:`article (8) <ap-cat-article-0>` :ref:`articles (3) <ap-cat-articles-0>` :ref:`cours (6) <ap-cat-cours-0>` :ref:`module (7) <ap-cat-module-0>` :ref:`paper (3) <ap-cat-paper-0>`

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    :target: ../_downloads/rss.xml
    :alt: RSS

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.. _ap-cat-biblio-1:

biblio - 2/2
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.. blogpostagg::
    :title: Biblio : articles ajoutés récemment
    :date: 2018-03-19
    :keywords: benchmark,pytorck,tensorflow,cntk
    :categories: biblio
    :rawfile: 2018/2018-03-19_new.rst

    Dans :ref:`l-suggestio-articles-projet-3A` :
    

    ...




.. blogpostagg::
    :title: Quelques papiers que j'aimerais avoir le temps de lire
    :date: 2017-09-13
    :keywords: articles
    :categories: biblio
    :rawfile: 2017/2017-09-13_papers.rst

    * `Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect <http://www.jmlr.org/papers/volume18/14-453/14-453.pdf>`_
    * `On the Consistency of Ordinal Regression Methods <http://www.jmlr.org/papers/volume18/15-495/15-495.pdf>`_
    * `Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis <http://www.jmlr.org/papers/volume18/16-061/16-061.pdf>`_
    * `Joint Label Inference in Networks <http://www.jmlr.org/papers/volume18/16-214/16-214.pdf>`_
    * `Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA <http://www.jmlr.org/papers/volume18/16-526/16-526.pdf>`_
    * `Fundamental Conditions for Low-CP-Rank Tensor Completion <http://www.jmlr.org/papers/volume18/17-189/17-189.pdf>`_
    * `Averaged Collapsed Variational Bayes Inference <http://www.jmlr.org/papers/volume18/14-249/14-249.pdf>`_
    * `Communication-efficient Sparse Regression <http://www.jmlr.org/papers/volume18/16-002/16-002.pdf>`_
    * `Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks <http://www.jmlr.org/papers/volume18/16-270/16-270.pdf>`_
    * `Automatic Differentiation Variational Inference <http://www.jmlr.org/papers/volume18/16-107/16-107.pdf>`_
    * `A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification <http://www.jmlr.org/papers/volume18/16-274/16-274.pdf>`_
    * `Breaking the Curse of Dimensionality with Convex Neural Networks <http://www.jmlr.org/papers/volume18/14-546/14-546.pdf>`_
    * `Preference-based Teaching <http://www.jmlr.org/papers/volume18/16-460/16-460.pdf>`_
    * `Online Bayesian Passive-Aggressive Learning∗ <http://www.jmlr.org/papers/volume18/14-188/14-188.pdf>`_
    * `Learning Local Dependence In Ordered Data <http://www.jmlr.org/papers/volume18/16-198/16-198.pdf>`_
    * `Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers <http://www.jmlr.org/papers/volume18/15-240/15-240.pdf>`_
    * `Clustering from General Pairwise Observations with Applications to Time-varying Graphs∗ <http://www.jmlr.org/papers/volume18/15-659/15-659.pdf>`_





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|rss_image| :ref:`<== <ap-cat-biblio-0>`  **biblio - 2/2** :ref:`2022-10 (1) <ap-month-2022-10-0>` :ref:`2022-12 (2) <ap-month-2022-12-0>` :ref:`2023-01 (1) <ap-month-2023-01-0>` :ref:`2023-02 (1) <ap-month-2023-02-0>` :ref:`2023-04 (1) <ap-month-2023-04-0>`