Pascal Massart

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 3

Top Topics

Rates Of Convergence

Wavelet Neural Network

Radial Basis Function

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Smart Grid

Publications

Olivier Coudray, Christine Keribin, Pascal Massart, Patrick Pamphile
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption. J. Mach. Learn. Res. 24 (2023)
Yvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan
A review of electric vehicle charging session open data: Poster. e-Energy (2021)
Benjamin Goehry, Yannig Goude, Pascal Massart, Jean-Michel Poggi
Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting. IEEE Trans. Smart Grid 11 (3) (2020)
Frédéric Chazal, Pascal Massart, Bertrand Michel
Rates of convergence for robust geometric inference. CoRR (2015)
Pascal Massart, Caroline Meynet
Some Rates of Convergence for the Selected Lasso Estimator. ALT (2012)
Sylvain Arlot, Pascal Massart
Data-driven Calibration of Penalties for Least-Squares Regression. J. Mach. Learn. Res. 10 (2009)
Laurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart
Kernel Projection Machine: a New Tool for Pattern Recognition. NIPS (2004)
Stéphane Boucheron, Gábor Lugosi, Pascal Massart
A sharp concentration inequality with applications. Random Struct. Algorithms 16 (3) (2000)