• Francis Bach (ENS Paris, France)

Large-scale machine learning and convex optimization (pdf)

• Philippe Besse (INSA Toulouse)

Apprentissage statistique et données massives (pdf)

• Gilles Blanchard (Potsdam University, Germany Berlin)

Is adaptive early stopping possible ? (pdf)

• Stéphane Chrétien (National Physical Laboratory, Teddington, UK)

Robust PCA via Lagrange duality (pdf)

• Stéphane Gaïffas (Ecole Polytechnique, Paris

Statistical learning with Hawkes processes and new matrix concentration inequalities (pdf)

• Pierre Geurts (Université de Liège, Belgique)

Random forests variable importances: Towards a better understanding and large-scale feature selection (pdf)

• Claire Lacour (Université Paris Sud)

About the Goldenshluger-Lepski methodology for bandwidth selection (pdf)

• Matthieu Lerasle (Université Nice Sophia Antipolis)

Subgaussian estimators of the mean (pdf)

• Clément Levrard (Université Paris Diderot)

Simplicial Manifold Reconstruction via Tangent Space Estimation (pdf)

•  Sébastien Loustau (Université d’Angers)

Quantization, Learning and Games (pdf)

• André Mas (Université de Montpellier)

Eigenvalue-free risk bounds for PCA projectors (pdf)

• Eric Sibony (Telecom Paris Tech)

A multi resolution framework for the statistical analysis of ranking data (pdf)

• Gilles Stoltz (CNRS, HEC Paris, France)

Robust online aggregation of ensemble forecasts with applications to the forecasting of electricity consumption and of exchange rates (pdf)

• Alexandre Tsybakov (CREST-ENSAE)

Oracle inequalities for network models and sparse graphon estimation (pdf)