Bart Vandereycken

According to our database, Bart Vandereycken authored at least 28 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Streaming Tensor Train Approximation.

Daniel Kressner, Bart Vandereycken, Rik Voorhaar

SIAM J. Sci. Comput., October, 2023

Projected exponential methods for stiff dynamical low-rank approximation problems.

Benjamin Carrel, Bart Vandereycken

CoRR, 2023

Gradient-type subspace iteration methods for the symmetric eigenvalue problem.

Foivos Alimisis, Yousef Saad, Bart Vandereycken

CoRR, 2023

Gauss-Southwell type descent methods for low-rank matrix optimization.

Guillaume Olikier, André Uschmajew, Bart Vandereycken

CoRR, 2023

Implicit low-rank Riemannian schemes for the time integration of stiff partial differential equations.

Marco Sutti, Bart Vandereycken

CoRR, 2023

2022

A Note on the Optimal Convergence Rate of Descent Methods with Fixed Step Sizes for Smooth Strongly Convex Functions.

André Uschmajew, Bart Vandereycken

J. Optim. Theory Appl., 2022

Randomized sketching of nonlinear eigenvalue problems.

Stefan Güttel, Daniel Kressner, Bart Vandereycken

CoRR, 2022

Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version.

Shixin Zheng, Wen Huang, Bart Vandereycken, Xiangxiong Zhang

CoRR, 2022

Low-rank Parareal: a low-rank parallel-in-time integrator.

Benjamin Carrel, Martin J. Gander, Bart Vandereycken

CoRR, 2022

TTML: tensor trains for general supervised machine learning.

Bart Vandereycken, Rik Voorhaar

CoRR, 2022

2021

Riemannian Multigrid Line Search for Low-Rank Problems.

Marco Sutti, Bart Vandereycken

SIAM J. Sci. Comput., 2021

Distributed Principal Component Analysis with Limited Communication.

Foivos Alimisis, Peter Davies, Bart Vandereycken, Dan Alistarh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

The leapfrog algorithm as nonlinear Gauss-Seidel.

Marco Sutti, Bart Vandereycken

CoRR, 2020

Multilevel Riemannian optimization for low-rank problems.

Marco Sutti, Bart Vandereycken

CoRR, 2020

2019

A globally convergent method to compute the real stability radius for time-delay systems.

Francesco Borgioli, Wim Michiels, Ding Lu, Bart Vandereycken

Syst. Control. Lett., 2019

Projection Methods for Dynamical Low-Rank Approximation of High-Dimensional Problems.

Emil Kieri, Bart Vandereycken

Comput. Methods Appl. Math., 2019

2018

Robust Rayleigh Quotient Minimization and Nonlinear Eigenvalue Problems.

Zhaojun Bai, Ding Lu, Bart Vandereycken

SIAM J. Sci. Comput., 2018

Time Integration of Rank-Constrained Tucker Tensors.

Christian Lubich, Bart Vandereycken, Hanna Walach

SIAM J. Numer. Anal., 2018

Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems.

Daniel Kressner, Ding Lu, Bart Vandereycken

SIAM J. Matrix Anal. Appl., 2018

2017

Criss-Cross Type Algorithms for Computing the Real Pseudospectral Abscissa.

Ding Lu, Bart Vandereycken

SIAM J. Matrix Anal. Appl., 2017

2016

Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure.

Daniel Kressner, Michael Steinlechner, Bart Vandereycken

SIAM J. Sci. Comput., 2016

2015

Time Integration of Tensor Trains.

Christian Lubich, Ivan V. Oseledets, Bart Vandereycken

SIAM J. Numer. Anal., 2015

2014

Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius.

Daniel Kressner, Bart Vandereycken

SIAM J. Matrix Anal. Appl., 2014

Riemannian Pursuit for Big Matrix Recovery.

Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Dynamical Approximation by Hierarchical Tucker and Tensor-Train Tensors.

Christian Lubich, Thorsten Rohwedder, Reinhold Schneider, Bart Vandereycken

SIAM J. Matrix Anal. Appl., 2013

Low-Rank Matrix Completion by Riemannian Optimization.

Bart Vandereycken

SIAM J. Optim., 2013

2010

A Riemannian Optimization Approach for Computing Low-Rank Solutions of Lyapunov Equations.

Bart Vandereycken, Stefan Vandewalle

SIAM J. Matrix Anal. Appl., 2010

2009

The Smoothed Spectral Abscissa for Robust Stability Optimization.

Joris Vanbiervliet, Bart Vandereycken, Wim Michiels, Stefan Vandewalle, Moritz Diehl

SIAM J. Optim., 2009