Seminar on Algorithmic Economics and Machine Learning
This is a new 1-credit course to accompany the long-standing algorithmic economics reading group. We read papers and discuss research topics in algorithms economics, social choice theory, economic theory, algorithmic game theory, and theoretical machine learning.
See the algorithmic economics page for the time and place! The reading group is open to the public, so please feel free to stop by anytime, whether officially enrolled or not.
Syllabus
Prerequisites: None. Anyone is welcome to join us. As we typically read recent research papers, there is rarely anyone in the room that fully understands. That said, familiarity with any subset of {economics, algorithms, machine learning, optimization, statistics} would help, as well as "mathematical maturity", meaning a grasp of proof writing and balancing intuition with formal arguments.
Guidelines for paper presentations
(Coming soon...)
Requirements
Each enrolled student is expected to present at least once to the group. In person attendance is important to the discussions, though we typically will offer a Zoom option for those unable to attend in person on any given day.