An Overview of the Theory of Overparameterized Machine Learning

The rapid recent progress in machine learning (ML) has raised a number of
scientific questions that challenge the longstanding dogma of the field. One of
the most important riddles is the good empirical generalization of
overparameterized models. Overpara… Read more

Similar

Foundations of Machine Learning Boot Camp

The Boot Camp is intended to acquaint program participants with the key themes of the program. It will consist of five days of tutorial presentations, each with ample time for questions and discussion, as follows: ...

Read more »

Notes on Causality in Machine Learning

I try to consolidate my MLSS 2020 notes in small blog posts and hope you might also find them interesting. I don’t try to cover the complete lectures but rather pick some pieces that I find important when working or doing research in ML. I anticipate this... (more…)

Read more »