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
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Sébastien LachapelleResearch scientist, Samsung's SAIT AI Lab, MontrealVerified email at samsung.com
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalVerified email at iro.umontreal.ca
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARVerified email at iro.umontreal.ca
Hugo BerardPhD student, MILA, University of MontrealVerified email at umontreal.ca
Mark SchmidtProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Gabriel HuangPhD candidate, Mila & Visiting Researcher, ServiceNowVerified email at umontreal.ca
Sharan VaswaniSimon Fraser UniversityVerified email at sfu.ca
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Rémi Le PriolEx-PhD from MILA, University of MontréalVerified email at umontreal.ca
Issam H. LaradjiStaff Research Scientist at ServiceNow & Adjunct Professor at University of British ColumbiaVerified email at servicenow.com
Martin JaggiEPFLVerified email at epfl.ch
Josef SivicCzech Technical University, CIIRC, ELLIS Unit PragueVerified email at cvut.cz
Ivan LaptevProfessor at MBZUAI, on leave from INRIAVerified email at inria.fr
Jean-Baptiste AlayracDeepMind, LondonVerified email at google.com
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerified email at servicenow.com
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Aristide BaratinResearch scientist, Samsung - SAIT AI Lab MontrealVerified email at mila.quebec

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	2295	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	2222	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	559	2008
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	508	2015
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	477*	2019
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	458	2013
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	370	2016
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	297	2012
Gradient-Based Neural DAG Learning S Lachapelle, P Brouillard, T Deleu, S Lacoste-Julien ICLR 2020 - Eight International Conference on Learning Representations, 2020	289	2020
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	258	2005
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	251	2019
Convergence Rate of Frank-Wolfe for Non-Convex Objectives S Lacoste-Julien arXiv preprint arXiv:1607.00345, 2016	247	2016
A Modern Take on the Bias-Variance Tradeoff in Neural Networks B Neal, S Mittal, A Baratin, V Tantia, M Scicluna, S Lacoste-Julien, ... arXiv preprint arXiv:1810.08591, 2018	228	2018
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	223	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	216	2019
Differentiable Causal Discovery from Interventional Data P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin NeurIPS 2020 - Advances in Neural Information Processing Systems 33, 2020	213	2020
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence N Loizou, S Vaswani, I Laradji, S Lacoste-Julien AISTATS 2021 - arXiv preprint arXiv:2002.10542, 2021	212	2021
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	211	2013
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks G Gidel, F Bach, S Lacoste-Julien NeurIPS 2019 - Advances in Neural Information Processing Systems 32, 2019	189	2019
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	187	2012

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