Media Summary: Anders Hansen (Cambridge) Lectures 1 and 2: Compressed Sensing: Andrea Montanari (Stanford): Matrix and graph estimation Abstract: Many statistics and unsupervised learning problems can be ... Claire Boyer (UPMC) Towards realistic compressed sensing Abstract: First, we will theoretically justify the applicability of ...
Structured Regularization Summer School L - Detailed Analysis & Overview
Anders Hansen (Cambridge) Lectures 1 and 2: Compressed Sensing: Andrea Montanari (Stanford): Matrix and graph estimation Abstract: Many statistics and unsupervised learning problems can be ... Claire Boyer (UPMC) Towards realistic compressed sensing Abstract: First, we will theoretically justify the applicability of ... Francis Bach (INRIA): Submodular Functions: from Discrete to Continuous Domains Abstract: Submodular set-functions have ... Emilie Chouzenoux (Paris-Est): Majorization-Minimization Subspace Algorithms for Large Scale Data Processing Abstract: Recent ... 9.520 - 11/2/2015 - Class 16 - Prof. Lorenzo Rosasco: Consistency, Learnability and Regularization
Lorenzo Rosasco, MIT, University of Genoa, IIT 9.520/6.860S Statistical Learning Theory and Applications Class website: ...
