Continuous optimization is a key component of modern data analysis. Recently, the demands
of extremely large-scale applications have shifted the focus from high cost, high accuracy
methods to low…

Variational analysis has come of age. Long an elegant theoretical toolkit for variational mathematics and nonsmooth optimization, it now increasingly underpins the study of algorithms, and a rich…

Monday, May 5
3 p.m. – Presentation – 253 Rhodes Hall
Suvrit Sra
Inexactness, geometry, and optimization: recurrent themes in modern data analysis
The current data-age is witnessing an…

The study of first-order methods has largely dominated research in continuous optimization for the last decade, yet still the range of problems for which optimal first-order methods have been…

Stephen Boyd (Stanford University) - Convex Optimization: From Embedded Real-Time to Large-Scale Distributed
Thursday, September 20, 2012 at 3:00pm
Upson Hall, B17
Convex optimization has emerged as…