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hal-00671982v3  Conference papers
Pierre AlquierXiaoyin Li. Prediction of quantiles by statistical learning and application to GDP forecasting
The Fifteenth International Conference on Discovery Science (DS 2012), Oct 2012, Lyon, France. pp.22-36
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hal-01385064v3  Journal articles
Pierre AlquierBenjamin Guedj. Simpler PAC-Bayesian Bounds for Hostile Data
Machine Learning, Springer Verlag, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩
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hal-00195698v3  Journal articles
Pierre Alquier. PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
Mathematical Methods of Statistics, Allerton Press, Springer (link), 2008, 17 (4), pp.279-304. ⟨10.3103/S1066530708040017⟩
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inria-00386697v1  Conference papers
Pierre AlquierMohamed Hebiri. LASSO transductif et autres généralisations
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
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inria-00496685v1  Documents associated with scientific events
Pierre Alquier. Lois à priori parcimonieuses et estimation en grande dimension
Journées MAS et Journée en l'honneur de Jacques Neveu, Aug 2010, Talence, France
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hal-00013780v2  Journal articles
Pierre Alquier. Iterative Feature Selection In Least Square Regression Estimation
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, Institut Henri Poincaré (IHP), 2008, 48 (1), p47-88
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hal-03142254v3  Journal articles
Pierre AlquierNicolas MarieAmélie Rosier. Tight Risk Bound for High Dimensional Time Series Completion
Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2022, 16 (1), pp.3001-3035. ⟨10.1214/22-EJS2015⟩
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inria-00386733v1  Conference papers
Pierre AlquierOlivier Wintenberger. Model selection and randomization for weakly dependent time series forecasting
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
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hal-00556652v2  Journal articles
Pierre AlquierGérard Biau. Sparse single-index model
Journal of Machine Learning Research, Microtome Publishing, 2013, 14, pp.243−280
hal-02403354v1  Journal articles
Nicolas ChopinPierre AlquierJames Ridgway. On the properties of variational approximations of Gibbs posteriors
Journal of Machine Learning Research, Microtome Publishing, 2016, 17 (236)
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hal-00181784v4  Journal articles
Pierre Alquier. LASSO, Iterative Feature Selection and the Correlation Selector: Oracle Inequalities and Numerical Performances
Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2008, 2, pp. 1129-1152. ⟨10.1214/08-EJS299⟩
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hal-00362151v4  Journal articles
Pierre AlquierOlivier Wintenberger. Model selection for weakly dependent time series forecasting
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2012, 18 (3), pp.883-913. ⟨10.3150/11-BEJ359⟩
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tel-00915505v1  Habilitation à diriger des recherches
Pierre Alquier. Contributions to statistical learning in sparse models
Statistics [math.ST]. Université Pierre et Marie Curie - Paris VI, 2013
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hal-00564291v5  Journal articles
Pierre AlquierPaul Doukhan. Sparsity considerations for dependent variables
Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2011, 5, pp 750-774. ⟨10.1214/11-EJS626⟩
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hal-01251878v4  Journal articles
Pierre AlquierBenjamin Guedj. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization
Mathematical Methods of Statistics, Allerton Press, Springer (link), 2017, 26 (1), pp.55 - 67. ⟨10.3103/S1066530717010045⟩
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inria-00510205v1  Documents associated with scientific events
Pierre AlquierOlivier Wintenberger. Sélection et aggrégation de modèles pour la prédiction de séries temporelles faiblement dépendantes
Journées MAS et Journée en l'honneur de Jacques Neveu, Aug 2010, Talence, France