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Events Archive

Colloquium: Machine Learning at Facebook

Machine intelligence for processing big data sets is big business. A statistical mathematician's point of view has led to (1) effective large-scale principal component analysis and singular value decomposition, and (2) some theoretical foundations for convolutional networks (convolutional networks underpin the recent revolution in artificial...

Location: 214 Fine Hall
Speaker(s):

Graduate Certificate Information Session

Open to anyone interested in learning more about CSML's Graduate Certificate Program.  CSML Director Peter Ramadge will be available to answer questions.

Location: 26 Prospect Ave, Princeton NJ

Colloquium: Hamiltonian Descent Methods

We propose a family of optimization methods that achieve linear convergence using first-order gradient information and constant step sizes on a class of convex functions much larger than the smooth and strongly convex ones. This larger class includes functions whose second derivatives may be singular or unbounded at their minima.

Location: Computer Science Building Lecture Hall 104

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