| Regularized nonlinear acceleration D Scieur, A d’Aspremont, F Bach Mathematical Programming 179 (1), 47-83, 2020 | 77 | 2020 |
| Integration methods and optimization algorithms D Scieur, V Roulet, F Bach, A d'Aspremont Advances in Neural Information Processing Systems, 1109-1118, 2017 | 63* | 2017 |
| Application of stochastic dual dynamic programming to the real-time dispatch of storage under renewable supply uncertainty A Papavasiliou, Y Mou, L Cambier, D Scieur IEEE Transactions on Sustainable Energy 9 (2), 547-558, 2017 | 38 | 2017 |
| Nonlinear acceleration of stochastic algorithms D Scieur, F Bach, A d'Aspremont Advances in Neural Information Processing Systems, 3982-3991, 2017 | 23 | 2017 |
| Online Regularized Nonlinear Acceleration D Scieur, E Oyallon, A d'Aspremont, F Bach arXiv preprint arXiv:1805.09639, 2018 | 16* | 2018 |
| Nonlinear acceleration of momentum and primal-dual algorithms R Bollapragada, D Scieur, A d'Aspremont arXiv preprint arXiv:1810.04539, 2018 | 15 | 2018 |
| Accelerating smooth games by manipulating spectral shapes W Azizian, D Scieur, I Mitliagkas, S Lacoste-Julien, G Gidel arXiv preprint arXiv:2001.00602, 2020 | 12 | 2020 |
| Nonlinear Acceleration of CNNs D Scieur, E Oyallon, A d’Aspremont, F Bach Workshop of International Conference on Learning Representations, 2018 | 7 | 2018 |
| Universal Asymptotic Optimality of Polyak Momentum D Scieur, F Pedregosa International Conference on Machine Learning, 8565-8572, 2020 | 5* | 2020 |
| Average-case Acceleration Through Spectral Density Estimation F Pedregosa, D Scieur arXiv preprint arXiv:2002.04756, 2020 | 5 | 2020 |
| Acceleration in optimization D Scieur | 5 | 2018 |
| Generalized Framework for Nonlinear Acceleration D Scieur arXiv preprint arXiv:1903.08764, 2019 | 2 | 2019 |
| Nonlinear Acceleration of Primal-Dual Algorithms R Bollapragada, D Scieur, A d’Aspremont The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 1 | 2019 |
| Optimal management of storage for offsetting solar power uncertainty using multistage stochastic programming T Kaneda, D Scieur, L Cambier, P Henneaux 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 1 | 2018 |
| Extra-gradient with player sampling for faster convergence in n-player games S Jelassi, C Domingo-Enrich, D Scieur, A Mensch, J Bruna International Conference on Machine Learning, 4736-4745, 2020 | | 2020 |
| Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates D Scieur, L Liu, T Pumir, N Boumal arXiv preprint arXiv:2011.03358, 2020 | | 2020 |
| Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets T Kerdreux, L Liu, S Lacoste-Julien, D Scieur arXiv preprint arXiv:2011.03351, 2020 | | 2020 |
| Average-case Acceleration for Bilinear Games and Normal Matrices C Domingo-Enrich, F Pedregosa, D Scieur arXiv preprint arXiv:2010.02076, 2020 | | 2020 |
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisAdresse e-mail validée de di.ens.fr
