You are invited to Arizona State University’s West campus for the Annual Machine Learning Day — an interactive virtual event!
Learn from cutting-edge researchers as they share innovative research on machine learning theory and methods in diverse domains, including applied statistics, biology, psychology, social science and ethics.
For graduate students: When you register you also have the option to present your research in a virtual poster session hosted through gather.town! The virtual conference will be held between 12:15–1:30.
Important things to know:
- Event is free.
- Registration is required.
Welcome and Opening Remarks (8:50 a.m.)
Keynote (9 a.m.)
Huan Liu, Arizona State University
Some Unique Problems with Social Media Data for Machine Learning and AI
Session 1. Ethics and ML (9 a.m.)
Florence Chee, Loyola University Chicago
Kelley Cotter, Arizona State University
Anna Jobin, Alexander von Humboldt Institute for Internet and Society
Session 2. ML Theory and Methods I (11:15 a.m.)
Johan Ugander, Stanford University
Selena Niu, University of Arizona
P. Richard Hahn, Arizona State University
Session 3. ML and Social Analytics/Social Networks (1:30 p.m.)
Will Hobbs, Cornell University
Johannes Eichstaedt, Stanford University
Erika Salomon, TrueRoll
Session 4. ML Theory and Methods II (2:45 p.m.)
Chicheng Zhang, University of Arizona
Toby D Hocking, Northern Arizona University
Kenneth Nieser, University of Wisconsin-Madison