Foivos Alimisis

13 papers A* 2A 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A preconditioned inverse iteration with an improved convergence guarantee.
Numerische Mathematik
Foivos Alimisis, Daniel Kressner, Nian Shao, Bart Vandereycken
2025 J jnl
Why Do We Need Warm-up? A Theoretical Perspective.
CoRR
Foivos Alimisis, Rustem Islamov, Aurélien Lucchi
2024 J jnl
A convexity-like structure for polar decomposition with an application to distributed computing.
CoRR
Foivos Alimisis, Bart Vandereycken
2024 J jnl
A preconditioned inverse iteration with an improved convergence guarantee.
CoRR
Foivos Alimisis, Daniel Kressner, Nian Shao, Bart Vandereycken
2024 J jnl
Geodesic Convexity of the Symmetric Eigenvalue Problem and Convergence of Steepest Descent.
J. Optim. Theory Appl.
Foivos Alimisis, Bart Vandereycken
2024 J jnl
Gradient-Type Subspace Iteration Methods for the Symmetric Eigenvalue Problem.
SIAM J. Matrix Anal. Appl.
Foivos Alimisis, Yousef Saad, Bart Vandereycken
2023 J jnl
Gradient-type subspace iteration methods for the symmetric eigenvalue problem.
CoRR
Foivos Alimisis, Yousef Saad, Bart Vandereycken
2021 A* conf
Communication-Efficient Distributed Optimization with Quantized Preconditioners.
ICML
Foivos Alimisis, Peter Davies, Dan Alistarh
2021 J jnl
Communication-Efficient Distributed Optimization with Quantized Preconditioners.
CoRR
Foivos Alimisis, Peter Davies, Dan Alistarh
2021 A* conf
Distributed Principal Component Analysis with Limited Communication.
NeurIPS
Foivos Alimisis, Peter Davies, Bart Vandereycken, Dan Alistarh
2021 J jnl
Distributed Principal Component Analysis with Limited Communication.
CoRR
Foivos Alimisis, Peter Davies, Bart Vandereycken, Dan Alistarh
2021 A conf
Momentum Improves Optimization on Riemannian Manifolds.
AISTATS
Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurélien Lucchi
2020 A conf
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization.
AISTATS
Foivos Alimisis, Antonio Orvieto, Gary Bécigneul, Aurélien Lucchi