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Fast rates in learning with dependent observations
In this paper we tackle the problem of fast rates in time series forecasting from a statistical learning perspective. In a serie of papers (e.g. Meir 2000, Modha and... -
PAC-Bayesian inductive and transductive learning
We present here a PAC-Bayesian point of view on adaptive supervised classification. Using convex analysis, we show how to get local measures of the complexity of the... -
Contributions to statistical learning in sparse models
The aim of this habilitation thesis is to give an overview of my works on high-dimensional statistics and statistical learning, under various sparsity assumptions. In... -
Risque garanti pour les modèles de discrimination multi-classes
Colloque avec actes et comité de lecture.
