Pascal Massart

2 papers · 2009–2023 · 1 conference · across top CS/AI conferences

Achievements

🏃 Academic Marathon (14) 🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer

Conferences

JMLR (2)

Top co-authors

Olivier Coudray (1) Patrick Pamphile (1) Sylvain Arlot (1) Christine Keribin (1)

Keywords

statistical learning (1) semi-supervised learning (1) binary classification (1) label noise (1) risk bound (1) positive-unlabeled learning (1) least-squares regression (1) data-driven estimation (1) penalty calibration (1) minimal penalty (1) slope heuristics (1)

Papers

Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023

Data-driven Calibration of Penalties for Least-Squares Regression JMLR 2009