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 | 29 | 2020 |
Mining Data Provenance to Detect Advanced Persistent Threats. M Barre, A Gehani, V Yegneswaran TaPP, 2019 | 21 | 2019 |
Principled analyses and design of first-order methods with inexact proximal operators M Barré, AB Taylor, F Bach Mathematical Programming, 1-46, 2022 | 15 | 2022 |
A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives M Barré, A Taylor, F Bach Open Journal of Mathematical Optimization 3, 1-15, 2022 | 11 | 2022 |
Convergence of a Constrained Vector Extrapolation Scheme M Barré, A Taylor, A d'Aspremont SIAM Journal on Mathematics of Data Science 4 (3), 979-1002, 2022 | 7* | 2022 |
Averaging atmospheric gas concentration data using wasserstein barycenters M Barré, C Giron, M Mazzolini, A d'Aspremont arXiv preprint arXiv:2010.02762, 2020 | 4 | 2020 |
Worst-Case Analysis of Efficient First-Order Methods M Barré Université Paris Sciences & Lettres, 2021 | | 2021 |
An M* Proxy for Sparse Recovery Performance M Barré, A d'Aspremont arXiv preprint arXiv:1810.02748, 2018 | | 2018 |