The Works that Made and Changed Machine Learning
|Meeting Time:||M hr: M 3:00-5:30|
|Offered this year?||Yes|
|When Offered?||Most years|
This seminar is aimed at current and potential future graduate students who want to gain technical depth and perspective on the field of statistical machine learning. Students will read, present, and discuss some of the original papers that had a transformative impact on the development of machine learning. Topics will range from mathematical foundations, to major algorithmic, and breakthrough works on deep learning and its applications in vision and NLP. Ideal students will have a mix of: 1) motivation to learn how to read, present and evaluate technical papers, 2) mathematical maturity and basic ML background, 3) willingness to participate and contribute to discussions. Enrollment will be limited, and will be finalized after the first class. No formal prerequisite.