Machine Learning Day

ASU Machine Learning

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! 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

Carolyn Starr
Apr 09 2021 - 8:50am
West campus

COVID-19 information

Fall 2021 Update page  |  FAQ page   | Novel coronavirus updates