Nicolas Boumal
Orcid: 0000-0002-1322-958X
According to our database1,
Nicolas Boumal
authored at least 44 papers
between 2011 and 2023.
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Bibliography
2023
Found. Comput. Math., August, 2023
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit.
SIAM J. Imaging Sci., June, 2023
Finding stationary points on bounded-rank matrices: a geometric hurdle and a smooth remedy.
Math. Program., May, 2023
Fast convergence of trust-regions for non-isolated minima via analysis of CG on indefinite matrices.
CoRR, 2023
Open Problem: Polynomial linearly-convergent method for geodesically convex optimization?
CoRR, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
CoRR, 2022
Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
Negative curvature obstructs acceleration for geodesically convex optimization, even with exact first-order oracles.
CoRR, 2021
Random Conical Tilt Reconstruction without Particle Picking in Cryo-electron Microscopy.
CoRR, 2021
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE Trans. Signal Process., 2020
Heterogeneous Multireference Alignment for Images With Application to 2D Classification in Single Particle Reconstruction.
IEEE Trans. Image Process., 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
IEEE Trans. Signal Process., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form.
Proceedings of the Conference On Learning Theory, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
2017
Tightness of the maximum likelihood semidefinite relaxation for angular synchronization.
Math. Program., 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
On the low-rank approach for semidefinite programs arising in synchronization and community detection.
Proceedings of the 29th Conference on Learning Theory, 2016
2015
Medical Image Anal., 2015
A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints.
CoRR, 2015
Riemannian Trust Regions with Finite-Difference Hessian Approximations are Globally Convergent.
Proceedings of the Geometric Science of Information - Second International Conference, 2015
2014
Syst. Control. Lett., 2014
J. Comput. Appl. Math., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014
2013
IEEE Trans. Signal Process., 2013
Expected performance bounds for estimation on graphs from random relative measurements.
CoRR, 2013
Estimation of a Multi-fascicle Model from Single B-Value Data with a Population-Informed Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011