Systems | Information | Learning | Optimization
 

Modeling and diagnosing the exercise of market power in the wholesale electricity industry | Active Learning on Graphs

Gautam’s Talk: TItle: Active Learning on Graphs Label prediction on graphs, i.e., the prediction of the labels of the vertices of a given graph using the labels of a subset of vertices, is a problem that commonly occurs in many areas of machine learning and data analysis. In this talk …

Restricted Isometry Constants in Compressed Sensing | Network localization with some new wrinkles: Noncovex geometry in low dimension

Bubacarr’s talk: ABSTRACT: Restricted Isometry Constants (RICs) of a matrix are a popular tool in the analysis of compressed sensing algorithms. The best known bounds will be presented for Gaussian matrices as well as expander graphs. In the former case we will also present explicit formulae for the bounds in …