Adding Alternative Text in Canvas (length: 1:44) from the Ally Training Workshop In this training workshop, learn to use Ally, a new tool in Canvas to help improve course accessibility. The workshop…

In 1964, Barry Goldwater lost the presidential election to Lyndon Johnson. At the time, most observers thought it was a “one-off.” Fifty-two years later, Donald Trump won the election.…

Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

Thursday, February 6, 2014 at 4:15pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data
Noisy…

Abstract: In this talk, we introduce an optimization-based framework called Generalized Low Rank Models designed to uncover structure in big messy data sets. These models generalize…