Simon Lacoste-Julien

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Gauthier GidelAssistant professor at Mila, University of Montréal (DIRO)Verified email at umontreal.ca
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Mark SchmidtAssociate Professor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Hugo BerardPhD student, MILA, University of MontrealVerified email at umontreal.ca
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARVerified email at iro.umontreal.ca
Ioannis (Yannis) MitliagkasAssistant Professor at Mila, University of MontréalVerified email at iro.umontreal.ca
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Martin JaggiEPFLVerified email at epfl.ch
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Gabriel HuangPhD student, Montreal Institute for Learning AlgorithmsVerified email at umontreal.ca
Josef SivicCzech Technical University, CIIRC, ELLIS Unit PragueVerified email at cvut.cz
Ivan LaptevResearch director, INRIAVerified email at inria.fr
Jean-Baptiste AlayracDeepMind, LondonVerified email at google.com
Sharan VaswaniUniversity of AlbertaVerified email at ualberta.ca
Stanisław JastrzębskiCSO @ Molecule.one & Assistant Prof. @ Jagiellonian University (GMUM.net)Verified email at molecule.one
Devansh ArpitSenior Research Scientist, SalesforceVerified email at salesforce.com
Asja FischerProfessor for Machine Learning, Ruhr University BochumVerified email at ini.rub.de
David Scott KruegerUniversity Lecturer, University of Cambridge; PhD Student, University of MontrealVerified email at umontreal.ca
Aaron DefazioFacebook AI ResearchVerified email at anu.edu.au

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	1445	2014
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	728	2017
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	498	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	377	2013
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	324	2015
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	253	2005
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	212	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	206*	2019
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	195	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	156	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	151	2015
Structured prediction, dual extragradient and Bregman projections B Taskar, S Lacoste-Julien, MI Jordan JMLR - Journal of Machine Learning Research 7, 1627-1653, 2006	144	2006
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	136	2012
Convergence Rate of Frank-Wolfe for Non-Convex Objectives S Lacoste-Julien arXiv preprint arXiv:1607.00345, 2016	129	2016
Negative Momentum for Improved Game Dynamics G Gidel, R Askari, M Pezeshki, R Le Priol, G Huang, S Lacoste-Julien, ... AISTATS 2019 - Proceedings of the 22nd International Conference on …, 2019	110	2019
Asaga: Asynchronous Parallel Saga R Leblond, F Pedregosa, S Lacoste-Julien AISTATS 2017 -- Proceedings of the 20th International Conference on …, 2017	108	2017
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	106	2016
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	106	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	100	2006
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates S Vaswani, A Mishkin, I Laradji, M Schmidt, G Gidel, S Lacoste-Julien NeurIPS 2019 - Advances in Neural Information Processing Systems 32, 2019	84	2019

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