Two Faculty Spearhead New ML/AI Conferences

Po-Ling Loh

Po-Ling Loh was the one of the key people who created the Midwest Machine Learning Symposium. The symposium aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of machine learning researchers at all career stages. It will be held at the Logan Center at University of Chicago on June 6-7, 2018. The MMLS was founded in 2017 and Prof. Loh is this year’s chair. More information:

Dimitris Papailiopoulos

Dimitris Papailiopoulos co-chaired the first SysML Conference in Stanford, California February 15-16, 2018. SysML is a new conference targeting research at the intersection of systems and machine learning. The conference aimed to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. More information: