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


Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-julien and Brian Mcwilliams
Advances in Neural Information Processing Systems 28, 2015


Barrier Frank-Wolfe for Marginal Inference
Rahul G. Krishnan, Simon Lacoste-julien and David Sontag
Advances in Neural Information Processing Systems 28, 2015


Rethinking LDA: Moment Matching for Discrete ICA
Anastasia Podosinnikova, Francis Bach and Simon Lacoste-julien
Advances in Neural Information Processing Systems 28, 2015


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


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


On the Equivalence between Herding and Conditional Gradient Algorithms
Simon Lacoste-julien, Francis R. Bach and Guillaume R. Obozinski
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Approximate inference for the loss-calibrated Bayesian
Simon Lacoste-julien, Ferenc Huszar and Zoubin Ghahramani
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-julien, Fei Sha and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


Structured Prediction, Dual Extragradient and Bregman Projections
Benjamin Taskar, Simon Lacoste-julien and Michael I. Jordan
Journal of Machine Learning Research, 2006