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Les vidéos associées à 62C20 Minimax proceduresVoir +
![Challenges in unsupervised learning: statistical-computational trade-offs - Lecture 2]()
01:03:45publiée le 12 janvier 2026Challenges in unsupervised learning: statistical-computational trade-offs - Lecture 2
De Alexandra Carpentier
![Challenges in unsupervised learning: statistical-computational trade-offs - Lecture 1]()
01:05:55publiée le 12 janvier 2026Challenges in unsupervised learning: statistical-computational trade-offs - Lecture 1
De Alexandra Carpentier
![High-dimentional classification with deep neural networks: decision boundaries, noise, and margin]()
44:49publiée le 22 novembre 2024High-dimentional classification with deep neural networks: decision boundaries, noise, and margin
De Philipp Petersen
![Statistical optimality and algorithms for top-K and total ranking - Lecture 2]()
01:00:10publiée le 11 janvier 2021Statistical optimality and algorithms for top-K and total ranking - Lecture 2
De Chao Gao
![Statistical optimality and algorithms for top-K and total ranking - Lecture 1]()
01:02:24publiée le 11 janvier 2021Statistical optimality and algorithms for top-K and total ranking - Lecture 1
De Chao Gao
![Shrinkage estimation of mean for complex multivariate normal distribution with unknown covariance when p > n]()
15:53publiée le 15 juin 2020Shrinkage estimation of mean for complex multivariate normal distribution with unknown covariance when p > n
De Yoshihiko Konno
