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Simon Lacoste-Julien - Publications

Affiliations: 
2009 University of California, Berkeley, Berkeley, CA, United States 
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8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Lacoste-Julien S, Lindsten F, Bach F. Sequential kernel herding: Frank-Wolfe optimization for particle filtering Journal of Machine Learning Research. 38: 544-552.  0.405
2014 Defazio A, Bach F, Lacoste-Julien S. SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives Advances in Neural Information Processing Systems. 2: 1646-1654.  0.434
2012 Bach F, Lacoste-Julien S, Obozinski G. On the equivalence between herding and conditional gradient algorithms Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1359-1366.  0.412
2011 Lacoste-Julien S, Huszár F, Ghahramani Z. Approximate inference for the loss-calibrated Bayesian Journal of Machine Learning Research. 15: 416-424.  0.375
2009 Lacoste-Julien S, Sha F, Jordan MI. DiscLDA: Discriminative learning for dimensionality reduction and classification Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 897-904.  0.48
2006 Lacoste-Julien S, Ben T, Klein D, Jordan MI. Word alignment via quadratic assignment Hlt-Naacl 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference. 112-119.  0.332
2006 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction, dual extragradient and bregman projections Journal of Machine Learning Research. 7: 1627-1653.  0.356
2005 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction via the extragradient method Advances in Neural Information Processing Systems. 1345-1352.  0.372
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