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