Simon Lacoste-Julien - Google Scholar Citations

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	All	Since 2015
Citations	4667	3853
h-index	27	27
i10-index	45	42

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Co-authors

Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Gauthier GidelPhD candidate at MILAVerified email at umontreal.ca
Michael I. JordanProfessor of EECS and Professor of Statistics, University of California, BerkeleyVerified email at cs.berkeley.edu
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Martin JaggiEPFLVerified email at epfl.ch
Josef SivicInria, Ecole Normale Superieure/PSL Research University, Czech Technical UniversityVerified email at inria.fr
Ivan LaptevResearch director, INRIAVerified email at inria.fr
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
Jean-Baptiste AlayracDeepMind, LondonVerified email at google.com
Ioannis (Yannis) MitliagkasAssistant Professor at Mila, University of MontréalVerified email at iro.umontreal.ca
Aaron DefazioFacebook AI ResearchVerified email at anu.edu.au
Fei ShaAssociate Professor of Computer Science, U. of Southern CaliforniaVerified email at usc.edu
Rémi LeblondResearch Scientist, DeepMindVerified email at google.com
Gabriel HuangPhD student, Montreal Institute for Learning AlgorithmsVerified email at umontreal.ca
Hugo BerardPhD student, MILA, University of MontrealVerified email at umontreal.ca
Fabian PedregosaGoogleVerified email at google.com
Stanisław JastrzębskiPostdoctoral Fellow, New York UniversityVerified email at nyu.edu
Devansh ArpitSenior Research Scientist, SalesforceVerified email at salesforce.com
Asja FischerProfessor for Machine Learning, Ruhr University BochumVerified email at ini.rub.de

Simon Lacoste-Julien

Associate Professor - Canada CIFAR AI Chair, University of Montreal / Mila

Verified email at iro.umontreal.ca - Homepage

Machine Learning Statistics Optimization


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SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives A Defazio, F Bach, S Lacoste-Julien NIPS 2014 - Advances in Neural Information Processing Systems 27, 1646-1654, 2014	1041	2014
DiscLDA: Discriminative learning for dimensionality reduction and classification S Lacoste-Julien, F Sha, MI Jordan NIPS 2008 - Advances in Neural Information Processing Systems 21, 2008	448	2008
A Closer Look at Memorization in Deep Networks D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ... ICML 2017 - Proceedings of the 34th International Conference on Machine Learning, 2017	344	2017
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs S Lacoste-Julien, M Jaggi, M Schmidt, P Pletscher ICML 2013 - Proceedings of the 30th International Conference on Machine …, 2013	321	2013
A discriminative matching approach to word alignment B Taskar, S Lacoste-Julien, D Klein EMNLP 2005 - Proceedings of the conference on Human Language Technology and …, 2005	236	2005
On the Global Linear Convergence of Frank-Wolfe Optimization Variants S Lacoste-Julien, M Jaggi NIPS 2015 - Advances in Neural Information Processing Systems 28, 2015	235	2015
A Simpler Approach to Obtaining an O(1/t) Convergence Rate for the Projected Stochastic Subgradient Method S Lacoste-Julien, M Schmidt, F Bach arXiv preprint arXiv:1212.2002, 2012	138	2012
Structured prediction, dual extragradient and Bregman projections B Taskar, S Lacoste-Julien, MI Jordan JMLR - Journal of Machine Learning Research 7, 1627-1653, 2006	135	2006
Unsupervised Learning from Narrated Instruction Videos JB Alayrac, P Bojanowski, N Agrawal, J Sivic, I Laptev, S Lacoste-Julien CVPR 2016 - Proceedings of the IEEE Conference on Computer Vision and …, 2016	126	2016
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases S Lacoste-Julien, K Palla, A Davies, G Kasneci, T Graepel, Z Ghahramani KDD 2013 - Proceedings of the 19th ACM SIGKDD international conference on …, 2013	122	2013
On Pairwise Costs for Network Flow Multi-Object Tracking V Chari, S Lacoste-Julien, I Laptev, J Sivic CVPR 2015 - Proceedings of the IEEE Conference on Computer Vision and …, 2015	120	2015
On the Equivalence between Herding and Conditional Gradient Algorithms F Bach, S Lacoste-Julien, G Obozinski ICML 2012 - Proceedings of the 29th International Conference on Machine Learning, 2012	102	2012
Word alignment via quadratic assignment S Lacoste-Julien, B Taskar, D Klein, MI Jordan HLT-NAACL - Proceedings of the main conference on Human Language Technology …, 2006	95	2006
Convergence Rate of Frank-Wolfe for Non-Convex Objectives S Lacoste-Julien arXiv preprint arXiv:1607.00345, 2016	89	2016
A Variational Inequality Perspective on Generative Adversarial Nets G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien ICLR 2019 - Seventh International Conference on Learning Representations, 2019	86*	2019
Asaga: Asynchronous Parallel Saga R Leblond, F Pedregosa, S Lacoste-Julien AISTATS 2017 -- Proceedings of the 20th International Conference on …, 2017	83	2017
Variance Reduced Stochastic Gradient Descent with Neighbors T Hofmann, A Lucchi, S Lacoste-Julien, B McWilliams NIPS 2015 - Advances in Neural Information Processing Systems 28, 2015	71	2015
Structured prediction via the extragradient method B Taskar, S Lacoste-Julien, MI Jordan NIPS 2005 - Advances in Neural Information Processing Systems 18, 1345-1352, 2005	68	2005
PAC-Bayesian Theory Meets Bayesian Inference P Germain, F Bach, A Lacoste, S Lacoste-Julien NIPS 2016 - Advances in Neural Information Processing Systems 29, 2016	67	2016
An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms S Lacoste-Julien, M Jaggi arXiv preprint arXiv:1312.7864, 2013	61	2013

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