Канал: High-Dimensional Statistics and Probability

(4/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(4/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(3/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(3/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(2/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(2/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(1/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

(1/4) Implicit gradient descent regularization, Benign interpolation and Overparametrisation

Lecture 7: False discoveries and multiple testing.

Lecture 7: False discoveries and multiple testing.

Lecture 6: Low rank regression

Lecture 6: Low rank regression

Lecture 5: Iterative algorithms.

Lecture 5: Iterative algorithms.

Lecture 4: Convex relaxation.

Lecture 4: Convex relaxation.

Lecture 3: Minimax lower bounds

Lecture 3: Minimax lower bounds

Lecture 2: Model Selection

Lecture 2: Model Selection

Lecture 1: The curse of dimensionality

Lecture 1: The curse of dimensionality

Introduction to the course High-dimensional statistics and probability

Introduction to the course High-dimensional statistics and probability