Pascal Massart

According to our database, Pascal Massart authored at least 9 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

2021

A review of electric vehicle charging session open data: Poster.

Yvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting.

Benjamin Goehry, Yannig Goude, Pascal Massart, Jean-Michel Poggi

IEEE Trans. Smart Grid, 2020

2015

Rates of convergence for robust geometric inference.

Frédéric Chazal, Pascal Massart, Bertrand Michel

CoRR, 2015

2013

Concentration Inequalities - A Nonasymptotic Theory of Independence.

Stéphane Boucheron, Gábor Lugosi, Pascal Massart

Oxford University Press, ISBN: 978-0-19-953525-5, 2013

2012

Some Rates of Convergence for the Selected Lasso Estimator.

Pascal Massart, Caroline Meynet

Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2009

Data-driven Calibration of Penalties for Least-Squares Regression.

Sylvain Arlot, Pascal Massart

J. Mach. Learn. Res., 2009

2004

Kernel Projection Machine: a New Tool for Pattern Recognition.

Laurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2000

A sharp concentration inequality with applications.

Stéphane Boucheron, Gábor Lugosi, Pascal Massart

Random Struct. Algorithms, 2000