Spring 2021
Advanced Machine Learning

Course#: CSCI-GA.3033-007
Instructor: Mehryar Mohri
Graders/TAs: Dmitry Storcheus.
Mailing List

Course Description

This course introduces and discusses advanced topics in machine learning. The objective is both to present some key topics not covered by basic graduate ML classes such as Foundations of Machine Learning, and to bring up advanced learning problems that can serve as an initiation to research or to the development of new techniques relevant to applications.

It is strongly recommended to those who can to also attend the Machine Learning Seminar.


Location and Time

Zoom lectures Tuesdays 5:10PM-7:00PM EST.
Zoom link available through NYU classes.

Warren Weaver Hall Online,
251 Mercer Street.
Tuesdays 5:10 PM - 7:00 PM.


Prerequisite

Students are expected to be familiar with basic machine learning concepts and must have attended a graduate ML class such as Foundations of Machine Learning or equivalent, at Courant or elsewhere.


Projects and Assignments

There will be 2 homework assignments and a topic presentation and report. The final grade is a combination of the assignment grades and the topic presentation grade. The standard high level of integrity is expected from all students, as with all Math and CS courses.


Lectures


Technical Papers

An extensive list of recommended papers for further reading is provided in the lecture slides.


Homework


Previous years

2015
2016
2017
2018