| Principled analyses and design of first-order methods with inexact proximal operators M Barré, A Taylor, F Bach arXiv preprint arXiv:2006.06041, 2020 | 5 | 2020 |
| Mining data provenance to detect advanced persistent threats M Barre, A Gehani, V Yegneswaran 11th International Workshop on Theory and Practice of Provenance (TaPP 2019), 2019 | 5 | 2019 |
| Complexity Guarantees for Polyak Steps with Momentum M Barré, A Taylor, A d'Aspremont Proceedings of the Thirty-Third Conference on Learning Theory (COLT), 2020 | 4* | 2020 |
| Convergence of constrained anderson acceleration M Barré, A Taylor, A d'Aspremont arXiv preprint arXiv:2010.15482, 2020 | 2 | 2020 |
| Averaging atmospheric gas concentration data using wasserstein barycenters M Barré, C Giron, M Mazzolini, A d'Aspremont arXiv preprint arXiv:2010.02762, 2020 | 2 | 2020 |
| A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives M Barré, A Taylor, F Bach arXiv preprint arXiv:2106.15536, 2021 | | 2021 |
| An M* Proxy for Sparse Recovery Performance M Barré, A d'Aspremont arXiv preprint arXiv:1810.02748, 2018 | | 2018 |
Alexandre d'AspremontCNRS & Ecole Normale Supérieure, ParisDirección de correo verificada de di.ens.fr
