| 2023 | COLT | Curvature and complexity: Better lower bounds for geodesically convex optimization. | Christopher Criscitiello, Nicolas Boumal |
| 2023 | COLT | Open Problem: Polynomial linearly-convergent method for g-convex optimization? | Christopher Criscitiello, David Martnez-Rubio, Nicolas Boumal |
| 2022 | COLT | Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles. | Christopher Criscitiello, Nicolas Boumal |
| 2021 | AISTATS | Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. | Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal |
| 2018 | CISS | Heterogeneous multireference alignment: A single pass approach. | Nicolas Boumal, Tamir Bendory, Roy R. Lederman, Amit Singer |
| 2018 | COLT | Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form. | Srinadh Bhojanapalli, Nicolas Boumal, Prateek Jain, Praneeth Netrapalli |
| 2016 | COLT | On the low-rank approach for semidefinite programs arising in synchronization and community detection. | Afonso S. Bandeira, Nicolas Boumal, Vladislav Voroninski |
| 2013 | MICCAI | Estimation of a Multi-fascicle Model from Single B-Value Data with a Population-Informed Prior. | Maxime Taquet, Benoit Scherrer, Nicolas Boumal, Benot Macq, Simon K. Warfield |
| 2011 | ICASSP | Discrete regression methods on the cone of positive-definite matrices. | Nicolas Boumal, Pierre-Antoine Absil |