PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Philippe Preux

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Number of EPrints submitted by this user: 15

ECON: a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation
Manuel Loth, Philippe Preux, Samuel Delepoulle and Christophe Renaud
In: Int'l Conf. on Machine Learning and Applications, 13-15 Dec 2009, Miami, USA.

Feature Discovery in Approximate Dynamic Programming
Philippe Preux, Sertan Girgin and Manuel Loth
In: Approximate Dynamic Programming and Reinforcement Learning, 30 Mar-2 Apr, Nashville, USA.

Sparsity in Adaptive Control
Philippe Preux and Sertan Girgin
In: Sparsity in Machine Learning and Statistics workshop, 1-3 Apr, Cumberland Lodge, UK.

l1 regularization path for functional features
Manuel Loth and Philippe Preux
In: Sparsity in Machine Learning and Statistics workshop, 1-3 Apr 2009, Cumberland Lodge, UK.

Recent Advances in Reinforcement Learning
Sertan Girgin, Manuel Loth, Rémi Munos, Philippe Preux and Daniil Ryabko, ed. (2009) Lecture Notes in Artificial Intelligence , Volume 5323 . Springer . ISBN 978-3-540-89721-7

Advertising Campaigns Management: Should We Be Greedy?
sertan girgin, Jeremie Mary, Philippe Preux and olivier nicol
In: 10th IEEE International Conference on Data Mining (ICDM), 14-17 Dec 2010, Sydney, Australia.

The Iso-lambda Descent Algorithm for the LASSO
Manuel Loth and Philippe Preux
In: ICONIP 2010, 22-25 Nov 2010, Sydney, Australia.

Nonlinear functional regression: a functional RKHS approach
hachem kadri, emmanuel duflos, Philippe Preux, Stéphane Canu and manuel davy
In: AI & Stats 2010, May 13-15, 2010, Chia Laguna, Italy.

Functional Regularized Least Squares Classification with Operator-Valued Kernels
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos and Alain Rakotomamonjy
In: 28th ICML, Jun 28 - Jul 2, 2011, Seattle, USA.

Datum-wise classification. A sequential Approach to sparsity
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari
In: ECML/PKDD 2011, 5-9 Sep, 2011, Athens, Greece.

Managing Advertising Campaigns - an Approximate Planning approach
sertan girgin, Jérémie Mary, Philippe Preux and olivier nicol
Frontiers of Computer Science Volume 6, Number 2, pp. 209-229, 2012. ISSN 2095-2228

Sequential approaches for learning datum-wise sparse representations
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari
Machine Learning Volume 89, Number 1-2, pp. 87-122, 2012. ISSN 0885-6125

ICML Exploration & Exploitation challenge: Keep it simple!
olivier nicol, Jérémie Mary and Philippe Preux
Journal of Machine Learning research Workshop and Conference Proceedings Volume 26, pp. 62-85, 2012.

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux and Patrick Gallinari
In: European Conference on Machine Learning, Sep 2012, Bristol.

Multiple Operator-valued Kernel Learning
Hachem Kadri, Alain Rakotomamonjy, Francis Bach and Philippe Preux
In: NIPS 2012, Dec 2012, Lake Tahoe, Nevada, USA.