Georgetown University

This doctoral seminar studies topics in statistical machine learning in the age of big data and artificial intelligence. In the seminar, we will read both classical and recent work in supervised learning, nonparametric models, optimization, and deep reinforcement learning. In the class, we will read textbooks and survey milestone papers. Students are expected to submit questions for the readings before each class and give presentations when it is their turns. To have first-hand experience, students are also expected to do a few programming exercises in the textbooks.