Follow
Foivos Alimisis
Title
Cited by
Cited by
Year
A continuous-time perspective for modeling acceleration in Riemannian optimization
F Alimisis, A Orvieto, G Bécigneul, A Lucchi
International Conference on Artificial Intelligence and Statistics, 1297-1307, 2020
582020
Momentum improves optimization on Riemannian manifolds
F Alimisis, A Orvieto, G Becigneul, A Lucchi
International conference on artificial intelligence and statistics, 1351-1359, 2021
46*2021
Communication-efficient distributed optimization with quantized preconditioners
F Alimisis, P Davies, D Alistarh
International Conference on Machine Learning, 196-206, 2021
212021
Distributed principal component analysis with limited communication
F Alimisis, P Davies, B Vandereycken, D Alistarh
Advances in Neural Information Processing Systems 34, 2823-2834, 2021
102021
Geodesic convexity of the symmetric eigenvalue problem and convergence of Riemannian steepest descent
F Alimisis, B Vandereycken
arXiv preprint arXiv:2209.03480, 2022
62022
Characterization of optimization problems that are solvable iteratively with linear convergence
F Alimisis
arXiv preprint arXiv:2402.12090, 2024
2024
Gradient-type subspace iteration methods for the symmetric eigenvalue problem
F Alimisis, Y Saad, B Vandereycken
arXiv preprint arXiv:2306.10379, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–7