A sharp concentration inequality with applications. - Stéphane Boucheron; Gábor Lugosi; Pascal Massart (Random Struct. Algorithms, 2000)

Kernel Projection Machine: a New Tool for Pattern Recognition. - Laurent Zwald; Régis Vert; Gilles Blanchard; Pascal Massart (NIPS, 2004)

Data-driven Calibration of Penalties for Least-Squares Regression. - Sylvain Arlot; Pascal Massart (J. Mach. Learn. Res., 2009)

Some Rates of Convergence for the Selected Lasso Estimator. - Pascal Massart; Caroline Meynet (ALT, 2012)

Concentration Inequalities - A Nonasymptotic Theory of Independence. - Stéphane Boucheron; Gábor Lugosi; Pascal Massart (Concentration Inequalities, 2013)

Rates of convergence for robust geometric inference. - Frédéric Chazal; Pascal Massart; Bertrand Michel (CoRR, 2015)

Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting. - Benjamin Goehry; Yannig Goude; Pascal Massart; Jean-Michel Poggi (IEEE Trans. Smart Grid, 2020)

A review of electric vehicle charging session open data: Poster. - Yvenn Amara-Ouali; Pascal Massart; Jean-Michel Poggi; Yannig Goude; Hui Yan (e-Energy, 2021)

Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption. - Olivier Coudray; Christine Keribin; Pascal Massart; Patrick Pamphile (J. Mach. Learn. Res., 2023)