Simon Lacoste-Julien - Google Scholar Citations

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	All	Since 2014
Citations	3522	2910
h-index	24	23
i10-index	36	33

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Co-authors

Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
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
Martin JaggiEPFLVerified email at epfl.ch
Gauthier GidelPhD candidate at MILAVerified email at umontreal.ca
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Josef SivicInria, Ecole Normale Superieure/PSL Research University, Czech Technical UniversityVerified email at inria.fr
Ivan LaptevResearch director, INRIAVerified email at inria.fr
Jean-Baptiste AlayracDeepMind, LondonVerified email at google.com
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
Fei ShaAssociate Professor of Computer Science, U. of Southern CaliforniaVerified email at usc.edu
Aaron DefazioFacebook AI ResearchVerified email at anu.edu.au
Rémi LeblondResearch Scientist, DeepMindVerified email at google.com
Patrick PletscherMachine Learning ScientistVerified email at pletscher.org
Fabian PedregosaGoogleVerified email at google.com
Anton OsokinNational Research University Higher School of EconomicsVerified email at hse.ru
Stanisław JastrzębskiPostdoctoral Fellow, New York UniversityVerified email at student.uj.edu.pl
Devansh ArpitSenior Research Scientist, SalesforceVerified email at salesforce.com
Asja FischerJunior Professorin (Assistant Professor), Ruhr-University BochumVerified email at ini.rub.de
David Scott KruegerPhD Student, University of MontrealVerified email at umontreal.ca

Simon Lacoste-Julien

Associate Professor, University of Montreal

Verified email at iro.umontreal.ca - Homepage

Machine Learning Statistics Optimization


Title	Cited by	Year
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	785	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	418	2008
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	280	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	229	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	177	2015
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	174	2017
Structured prediction, dual extragradient and Bregman projections B Taskar, S Lacoste-Julien, MI Jordan JMLR - Journal of Machine Learning Research 7, 1627-1653, 2006	129	2006
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	119	2012
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	98	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	96*	2015
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	92	2006
Learning from Narrated Instruction Videos JB Alayrac, P Bojanowski, N Agrawal, J Sivic, I Laptev, S Lacoste-Julien TPAMI 2018 - IEEE Transactions on Pattern Analysis and Machine Intelligence …, 2018	89*	2018
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	88	2016
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	80	2012
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	66	2005
Asaga: Asynchronous Parallel Saga R Leblond, F Pedregosa, S Lacoste-Julien AISTATS 2017 -- Proceedings of the 20th International Conference on …, 2017	58	2017
Convergence Rate of Frank-Wolfe for Non-Convex Objectives S Lacoste-Julien arXiv preprint arXiv:1607.00345, 2016	57	2016
An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms S Lacoste-Julien, M Jaggi arXiv preprint arXiv:1312.7864, 2013	54	2013
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	49	2015
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	41	2016

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