22:51
(4/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation
01:32:27
(3/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation
43:35
(2/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation
25:36
(1/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation
01:38:35
Lecture 7: False discoveries and multiple testing.
02:16:37
Lecture 6: Low rank regression
01:52:33
Lecture 5: Iterative algorithms.
02:18:34
Lecture 4: Convex relaxation.
01:01:52
Lecture 3: Minimax lower bounds
01:56:07
Lecture 2: Model Selection
01:40:40
Lecture 1: The curse of dimensionality
04:56
Introduction to the course High-dimensional statistics and probability
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About
This channel is related to the course "High-dimensional statistics and probability" from Christophe Giraud (professor at Paris Saclay university).
More informations on the website of this course (dates, lecture notes, etc): www.imo.universite-paris-saclay.fr/~giraud/Orsay/H…
Topics:
- Curse of dimensionality
- Model selection
- Minimax lower bounds
- Convex relaxation
- Iterative algorithms
- Low rank regression
- False discoveries and multiple testing
- Implicit regularization of Gradient Descent
- Benign interpolation and overparametrisation
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