|September 13, 2016 - 4:15pm|
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|
September 20, 2016 - 4:15pm
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|
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|
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|