Full video lectures: High-Dimensional Statistics course by Christophe Giraud (Paris-Saclay)
caglar_ee · x · 2026-09-30
Video lectures for "Introduction to High-Dimensional Statistics and Probability" by Christophe Giraud (with Zacharie Naulet) at Université Paris-Saclay are publicly available, aimed at Master2 students in stochastic math, AI math, and life sciences.
- Goals: understand the curse of dimensionality, build solid conceptual and methodological foundations for doctoral research.
- Part 1 (Giraud, 7 weeks): origins of the curse and concepts to overcome it, focusing on minimax frontiers in the Gaussian framework.
- Part 2 (Naulet, 3 weeks): false discoveries, supervised classification, and biology applications.
- Based on the second edition of Giraud's textbook, with course page and lecture videos linked.
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