Overview
Sylvain Arlot is a statistician (CNRS / ENS, later Université Paris-Saclay), known for model-selection theory — cross-validation, penalization, and resampling methods.
Key Contributions / Features
- Cross-validation survey (Arlot-Celisse 2010): with Celisse, the standard reference relating CV procedures to model-selection theory.
- Work on data-driven ("slope heuristic") penalty calibration, resampling-based penalties, and CV for change-point detection.
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