Event
Abbas Mehrabian - 9I制作厂免费
Tuesday, January 22, 2019 16:30to17:30
Burnside Hall
Room 1104, 805 rue Sherbrooke Ouest, Montreal, QC, H3A 0B9, CA
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Title: Learning mixtures of Gaussians
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Abstract:
Distribution learning lies at the intersection of statistics, theoretical computer science and machine learning. We give an overview of this area, with the problem of learning mixtures of high-dimensional Gaussians as a running example. In particular, we prove nearly tight sample complexity bounds for this problem in the density estimation model.
Based on joint work with Hassan Ashtiani, Shai Ben-David, Luc Devroye, Nick Harvey, Christopher Liaw, Yani Plan, and Tommy Reddad.