Differences

This shows you the differences between two versions of the page.

--- seminars:stat:sep222022 [2022/09/08 13:53] – created rakhi
+++ seminars:stat:sep222022 [2022/09/08 13:53] (current) – rakhi
@@ Line 1: / Line 1: @@
+**Speaker:** Ming Yuan (Columbia)
+**Title:** Spectral Learning for High Dimensional Tensors\\
+**Abstract:** Matrix perturbation bounds developed by Weyl, Davis, Kahan and Wedin and others play a central role in many statistical and machine learning problems. I shall discuss some of the recent progresses in developing similar bounds for higher order tensors. I will highlight the intriguing differences from matrices, and explore their implications in spectral learning problems.