Distributed Principal Component Analysis with Limited Communication
Foivos Alimisis*, Peter Davies, Bart Vandereycken, Dan Alistarh
NeurIPS 2021
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Foivos Alimisis*, Peter Davies, Dan Alistarh
ICML 2021
Momentum improves optimization on Riemannian manifolds
Foivos Alimisis*, Antonio Orvieto, Gary Becigneul, Aurelien Lucchi
AISTATS 2021
A continuous-time perspective for modeling acceleration in riemannian optimization
Foivos Alimisis*, Antonio Orvieto, Gary Becigneul, Aurelien Lucchi
AISTATS 2020
Characterization of optimization problems that are solvable iteratively with linear convergence
Foivos Alimisis*
MTNS 2024
Preprints (under review):
Foivos Alimisis*, Bart Vandereycken
Gradient-type subspace iteration methods for the symmetric eigenvalue problem
Foivos Alimisis*, Yousef Saad, Bart Vandereycken
A Nesterov-style Accelerated Gradient Descent Algorithm for the Symmetric Eigenvalue Problem
Foivos Alimisis*, Simon Vary, Bart Vandereycken