Michael Mahoney

Associate Professor, Department of Statistics
BIDS Senior Fellow

Real name: 
Michael Mahoney

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.



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

August 27, 2018 / 9:00am to August 31, 2018 / 4:30pm