RESEARCH ACTIVITIES

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Preprints

P. Alquier, K. Lounici, PAC-Bayesian Theorems for Sparse Regression Estimation with Exponential Weights, 2010. Preprint hal-00465801.

P. Alquier, M. Hebiri, Transductive Versions of the LASSO and the Dantzig Selector, 2009, Preprint Laboratoire de Probabilités et Modèles Aléatoires n. 1299, preprint arXiv:0906.0652.

P. Alquier, O. Wintenberger, Model Selection and Randomization for Weakly Dependent Time Series Forecasting, 2009, preprint arXiv:0902.2924.

P. Alquier, M. Hebiri, Generalization of l1 Constraints for High Dimensional Regression Problems, 2008, Preprint Laboratoire de Probabilités et Modèles Aléatoires n. 1253, preprint arXiv:0811.0072.

Peer-reviewed journal papers

P. Alquier, PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers, Mathematical Methods of Statistics, 2008, vol. 17, no. 4, pp 279-304. Available on arXiv:0710.4466.

P. Alquier, LASSO, Iterative Feature Selection and the Correlation Selector: Oracle Inequalities and Numerical Performances, Electronic Journal of Statistics, 2008, vol.2, pp. 1129-1152. Available on arXiv:0712.1698.

P. Alquier, Density Estimation with Quadratic Loss, a Confidence Intervals Method, ESAIM: P&S, 2008, vol. 12, pp. 438-463. A preliminary version is available on arXiv:0603349

P. Alquier, Iterative feature selection in regression estimation, Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 2008, vol. 44, no. 1, pp 47-88. Available on arXiv:0511299.

Peer-reviewed conferences papers

P. Alquier, An Iterative Algorithm for Selection of Blocks of Features, to appear in the proceedings of ALT 2010, Springer. Until then, you can download the paper here.

Other conferences papers

P. Alquier, O. Wintenberger, Model Selection and Randomization for Weakly Dependent Time Series Forecasting, Journées de statistiques de la SFDS 2009, available on HAL as inria-00386733.

P. Alquier, M. Hebiri, LASSO Transductif et Autres Généralisations, Journées de statistiques de la SFDS 2009, available on HAL as inria-00386697.

PhD Thesis

P. Alquier, Transductive and Inductive Adaptative Inference for Density and Regression Estimation, PhD Thesis, Université Paris 6, advisor : Professor Olivier Catoni (CNRS). Funded by the CREST, defended 08/12/2006. You can download the thesis and the slides.