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All publications by Aaron Defazio
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Finito: A faster, permutable incremental gradient method for big data problems
Aaron Defazio, Justin Domke and Tiberio Caetano
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio, Francis Bach and Simon Lacoste-julien
Advances in Neural Information Processing Systems 27, 2014


A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio and Tibério S. Caetano
Advances in Neural Information Processing Systems 25, 2012


A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training
Aaron Defazio and Tibério S. Caetano
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012