Michael 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.
Real name:Michael Mahoney
July 1, 2020 / 8:00am to 2:30pm
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
October 2, 2018
February 22, 2018