I attented the course Regularization Methods for Machine Learning (RegML 2020).

Topics:

• Regularization Methods: Penalization, Projection, Early Stopping.
• Kernel Methods
• Regularization in Multi-Task Learning
• Sparsity
• Geometric Deep Learning
• Representation Learning

Here you can find my notes about the lessons. There can be errors, imprecisions and so on. They are still in progress.

Here you can find my repository with the solutions of some of the exercises presented during the course.