| 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 | 873 | 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 | 428 | 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 | 294 | 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 | 232 | 2005 |
| 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 | 212 | 2017 |
| 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 | 193 | 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 | 132 | 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 | 126 | 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 | 105 | 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 | 104* | 2015 |
| 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 | 99* | 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 | 97 | 2016 |
| 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 | 93 | 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 | 82 | 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 | 68 | 2005 |
| Asaga: Asynchronous Parallel Saga R Leblond, F Pedregosa, S Lacoste-Julien AISTATS 2017 -- Proceedings of the 20th International Conference on …, 2017 | 66 | 2017 |
| Convergence Rate of Frank-Wolfe for Non-Convex Objectives S Lacoste-Julien arXiv preprint arXiv:1607.00345, 2016 | 65 | 2016 |
| An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms S Lacoste-Julien, M Jaggi arXiv preprint arXiv:1312.7864, 2013 | 56 | 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 | 53 | 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 | 45* | 2019 |
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
