The course gives an introduction to probability theory in a measure-theoretic setting. Among the topics discussed are: Probability measures, σ-algebras, conditional expectations, convergence of random ...

The course gives a basic introduction to probability and the use of probability models to describe random variables and stochastic processes. The course also gives an introduction to statistical ...

Monday, Nov 3 Language models, attention mechanisms, transformers (Zico Kolter) Wednesday, Nov 5 Language models, attention mechanisms, transformers (Zico Kolter) Friday, Nov 7 Language models, ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...