Upcoming Seminars

September 2016

September 13, 2016 - 4:15pm

Kernel Fusion for Manifold Learning and Signal Processing


September 13, 2016 - 4:15pm

Kernel-based methods are useful for various machine learning tasks. A kernel is a symmetrical positive definite function constructed on the graph...

Speaker: Ofir Lindenbaum, Tel Aviv University
September 20, 2016 - 4:15pm

Refined Heinz-Kato-Loewner inequalities


September 20, 2016 - 4:15pm

*ANALYSIS SEMINAR*

We discuss a series of classical inequalities in matrix/operator theory; a suitable representative is due to Alan...

Speaker: Stefan Steinerberger, Yale University
September 21, 2016 - 4:15pm

L^p -Bounds on Spectral Clusters Associated to Polygonal Domains


September 21, 2016 - 4:15pm

*PLEASE NOTE NON-STANDARD DAY/LOCATION*

With Matt Blair and Austin Ford, we discuss results that look at $L^p$ bounds on eigenfunctions in...

Speaker: Jeremy Marzuola, University of North Carolina at Chapel Hill
September 27, 2016 - 4:15pm

Distributional Functional Estimation in Signal Processing and Machine Learning


September 27, 2016 - 4:15pm

Distributional functionals are integral functionals of probability densities and include functionals such as information divergence, mutual...

Speaker: Kevin Moon, Yale University