Real name:
Michael MahoneyMichael Mahoney works on algorithmic and statistical aspects of modern large-scale data analysis. Much of his recent research has focused on large-scale machine learning including randomized matrix algorithms and randomized numerical linear algebra; geometric network analysis tools for structure extraction in large informatics graphs; scalable implicit regularization methods; and applications in genetics, astronomy, medical imaging, social network analysis, and internet data analysis.
Events
November 27, 2018 / 9:00am to November 30, 2018 / 4:30pm
October 29, 2018 / 9:00am to November 2, 2018 / 4:30pm
September 24, 2018 / 9:00am to September 27, 2018 / 4:30pm
Featured in the News
Sep 1, 2020
Publications
November 23, 2020
October 2, 2018
February 22, 2018