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All publications by Martin Jaggi
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Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, Martin Jaggi, Michael Jordan, Peter Richtarik and Martin Takac
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-julien and Martin Jaggi
Advances in Neural Information Processing Systems 28, 2015


Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi, Virginia Smith, Martin Takac, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann and Michael I. Jordan
Advances in Neural Information Processing Systems 27, 2014


Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-julien, Martin Jaggi, Mark Schmidt and Patrick Pletscher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
Martin Jaggi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Regularization Paths with Guarantees for Convex Semidefinite Optimization
Joachim Giesen, Martin Jaggi and Sören Laue
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Simple Algorithm for Nuclear Norm Regularized Problems
Martin Jaggi and Marek Sulovsk\'y
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010