Videos: NIPS 2013 Frank-Wolfe and Greedy Algorithms

After the slides, Zaid Harchaoui and Martin Jaggi put up all the videos of the Frank-Wolfe and Greedy Algorithms NIPS 2013 Workshop 

   Introduction to the Workshop     Ben Recht - The Algorithmic Frontiers of Atomic Norm Minimization - invited talk    Francis Bach - Conditional Gradients Everywhere - invited talk    Katya Scheinberg - Complexity of Inexact Proximal Newton Methods   Shai Shalev-Schwartz - Efficiently Training Sum-Product Neural Networks - invited talk Paul Grigas - New Analysis and Results for the Conditional Gradient Method   Nikhil Rao - Conditional Gradient with Enhancement and Truncation for Atomic Norm Regularization   Jacob Steinhardt - A Greedy Framework for First-Order Optimization   Vamsi K. Potluru - Coordinate Descent for mixed-norm NMF      Simon Lacoste-Julien - An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms   David Belanger - Marginal Inference in MRFs using Frank-Wolfe Ali Ghodsi - A Fast Greedy Algorithm for Generalized Column Subset Selection   Robert M. Freund - Remarks on Frank-Wolfe and Structural Friends - invited talk



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