| Accelerated, parallel, and proximal coordinate descent O Fercoq, P Richtárik SIAM Journal on Optimization 25 (4), 1997-2023, 2015 | 419 | 2015 |
| Scalable semidefinite programming A Yurtsever, JA Tropp, O Fercoq, M Udell, V Cevher SIAM Journal on Mathematics of Data Science 3 (1), 171-200, 2021 | 164 | 2021 |
| Mind the duality gap: safer rules for the lasso O Fercoq, A Gramfort, J Salmon International conference on machine learning, 333-342, 2015 | 161 | 2015 |
| Gap safe screening rules for sparsity enforcing penalties E Ndiaye, O Fercoq, J Salmon Journal of Machine Learning Research 18 (128), 1-33, 2017 | 138 | 2017 |
| SDNA: Stochastic dual Newton ascent for empirical risk minimization Z Qu, P Richtárik, M Takác, O Fercoq International Conference on Machine Learning, 1823-1832, 2016 | 115 | 2016 |
| A smooth primal-dual optimization framework for nonsmooth composite convex minimization Q Tran-Dinh, O Fercoq, V Cevher SIAM Journal on Optimization 28 (1), 96-134, 2018 | 103 | 2018 |
| Improved optimistic algorithms for logistic bandits L Faury, M Abeille, C Calauzčnes, O Fercoq International Conference on Machine Learning, 3052-3060, 2020 | 95 | 2020 |
| Gap safe screening rules for sparse multi-task and multi-class models E Ndiaye, O Fercoq, A Gramfort, J Salmon Advances in neural information processing systems 28, 2015 | 87 | 2015 |
| Fast distributed coordinate descent for non-strongly convex losses O Fercoq, Z Qu, P Richtárik, M Takáč 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | 80 | 2014 |
| A coordinate-descent primal-dual algorithm with large step size and possibly nonseparable functions O Fercoq, P Bianchi SIAM Journal on Optimization 29 (1), 100-134, 2019 | 74 | 2019 |
| Safe grid search with optimal complexity E Ndiaye, T Le, O Fercoq, J Salmon, I Takeuchi International conference on machine learning, 4771-4780, 2019 | 67 | 2019 |
| Gap safe screening rules for sparse-group lasso E Ndiaye, O Fercoq, A Gramfort, J Salmon Advances in Neural Information Processing Systems, 388-396, 2016 | 66 | 2016 |
| Restarting accelerated gradient methods with a rough strong convexity estimate O Fercoq, Z Qu arXiv preprint arXiv:1609.07358, 2016 | 64 | 2016 |
| Adaptive restart of accelerated gradient methods under local quadratic growth condition O Fercoq, Z Qu IMA Journal of Numerical Analysis 39 (4), 2069-2095, 2019 | 62 | 2019 |
| Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems T Pethick, P Latafat, P Patrinos, O Fercoq, V Cevher International Conference on Learning Representations, 2022 | 60 | 2022 |
| Ergodic control and polyhedral approaches to PageRank optimization O Fercoq, M Akian, M Bouhtou, S Gaubert IEEE Transactions on Automatic and Control 58 (1), 134-143, 2013 | 59 | 2013 |
| Smooth minimization of nonsmooth functions with parallel coordinate descent methods O Fercoq, P Richtárik Modeling and Optimization: Theory and Applications, 57-96, 2017 | 57 | 2017 |
| Synchronisation and control of proliferation in cycling cell population models with age structure F Billy, J Clairambaultt, O Fercoq, S Gaubertt, T Lepoutre, T Ouillon, ... Mathematics and Computers in Simulation 96, 66-94, 2014 | 57 | 2014 |
| Joint quantile regression in vector-valued RKHSs M Sangnier, O Fercoq, F d'Alché-Buc Advances in Neural Information Processing Systems 29, 2016 | 56 | 2016 |
| A conditional gradient framework for composite convex minimization with applications to semidefinite programming A Yurtsever, O Fercoq, F Locatello, V Cevher International Conference on Machine Learning, 5727-5736, 2018 | 48 | 2018 |
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Email verificata su epfl.ch
