.. image:: pystat.png
    :height: 20
    :alt: Statistique
    :target: http://www.xavierdupre.fr/app/ensae_teaching_cs/helpsphinx/td_2a_notions.html#pour-un-profil-plutot-data-scientist

.. _l-mlplus-structures:

Apprentissage de structures, de hiérarchie
++++++++++++++++++++++++++++++++++++++++++

(à venir)

*Lectures*

* `Online Bayesian Passive-Aggressive Learning <http://www.jmlr.org/papers/volume18/14-188/14-188.pdf>`_
* `Poincaré Embeddings for Learning Hierarchical Representations <https://arxiv.org/pdf/1705.08039.pdf>`_
* `Affinity Clustering: Hierarchical Clustering at Scale <https://papers.nips.cc/paper/7262-affinity-clustering-hierarchical-clustering-at-scale.pdf>`_
* `Meta Learning Shared Hierarchies <https://arxiv.org/abs/1710.09767>`_
* `Kernel-Based Learning of Hierarchical Multilabel Classification Models <http://www.jmlr.org/papers/volume7/rousu06a/rousu06a.pdf>`_
* `Incremental Algorithms for Hierarchical Classification <http://www.jmlr.org/papers/volume7/cesa-bianchi06a/cesa-bianchi06a.pdf>`_
* `Hierarchical Clustering via Spreading Metrics <http://jmlr.org/papers/volume18/17-081/17-081.pdf>`_

*Modules*

* `GPy <https://github.com/SheffieldML/GPy>`_