Midwest Machine Learning Symposium
Date: June 19, 2017
Location: Toyota Technological Institute at Chicago, on the University of Chicago campus

The first Midwest Machine Learning Symposium, a collaborative event among major Midwest universities including Ohio State, will be held June 19-20. The event aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of ML researchers at all career stages.

The importance of a thriving ML community in the Midwest is in combining individual research pursuits into a broader perspective, to better enrich our society and economy. The event will feature prominent plenary speakers, invited talks, contributed talks and posters, and a panel.

The conference is free, and there is campus housing available free of charge on a first-come, first-served basis.

Researchers in the Midwest, especially Ph.D. students and postdocs, are invited to submit abstracts of their exciting work in machine learning, related disciplines, and applications. Most contributions will be presented as posters, and a few may be selected for talks. Abstracts will be reviewed for quality by the organizing committee, with the goal of having an inclusive and diverse array of research represented at the Symposium.

The deadline both for registering to attend the symposium and for submitting an abstract is May 12.

More information on submitting and registering

Confirmed Plenary Speakers:
Corinna Cortes, Head of Google Research, New York
Devavrat Shah, Professor, MIT

Participating Institutes:
Ohio State; Indiana University; Northwestern University; Toyota Technological Institute at Chicago; University of Chicago; University of Michigan, Ann Arbor; University of Illinois, Chicago; University of Illinois, Urbana-Champaign; University of Wisconsin, Madison

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