Bart Vandereycken

40 papers A* 2Journal 38

Year	Rank	Type	Title / 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`	Gauss-Southwell Type Descent Methods for Low-Rank Matrix Optimization. J. Optim. Theory Appl. Guillaume Olikier, André Uschmajew, Bart Vandereycken
2025	J	`jnl`	Interpolatory Dynamical Low-Rank Approximation: Theoretical Foundations and Algorithms. CoRR Benjamin Carrel, Daniel Kressner, Hei Yin Lam, Bart Vandereycken
2025	J	`jnl`	Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints. Comput. Optim. Appl. Shixin Zheng, Wen Huang, Bart Vandereycken, Xiangxiong Zhang
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
2024	J	`jnl`	Implicit Low-Rank Riemannian Schemes for the Time Integration of Stiff Partial Differential Equations. J. Sci. Comput. Marco Sutti, Bart Vandereycken
2024	J	`jnl`	Randomized Sketching of Nonlinear Eigenvalue Problems. SIAM J. Sci. Comput. Stefan Güttel, Daniel Kressner, Bart Vandereycken
2023	J	`jnl`	Gauss-Southwell type descent methods for low-rank matrix optimization. CoRR Guillaume Olikier, André Uschmajew, Bart Vandereycken
2023	J	`jnl`	Gradient-type subspace iteration methods for the symmetric eigenvalue problem. CoRR Foivos Alimisis, Yousef Saad, Bart Vandereycken
2023	J	`jnl`	Implicit low-rank Riemannian schemes for the time integration of stiff partial differential equations. CoRR Marco Sutti, Bart Vandereycken
2023	J	`jnl`	Projected exponential methods for stiff dynamical low-rank approximation problems. CoRR Benjamin Carrel, Bart Vandereycken
2023	J	`jnl`	Streaming Tensor Train Approximation. SIAM J. Sci. Comput. Daniel Kressner, Bart Vandereycken, Rik Voorhaar
2022	J	`jnl`	A Note on the Optimal Convergence Rate of Descent Methods with Fixed Step Sizes for Smooth Strongly Convex Functions. J. Optim. Theory Appl. André Uschmajew, Bart Vandereycken
2022	J	`jnl`	Low-rank Parareal: a low-rank parallel-in-time integrator. CoRR Benjamin Carrel, Martin J. Gander, Bart Vandereycken
2022	J	`jnl`	Randomized sketching of nonlinear eigenvalue problems. CoRR Stefan Güttel, Daniel Kressner, Bart Vandereycken
2022	J	`jnl`	Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version. CoRR Shixin Zheng, Wen Huang, Bart Vandereycken, Xiangxiong Zhang
2022	J	`jnl`	Streaming Tensor Train Approximation. CoRR Daniel Kressner, Bart Vandereycken, Rik Voorhaar
2022	J	`jnl`	TTML: tensor trains for general supervised machine learning. CoRR Bart Vandereycken, Rik Voorhaar
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	J	`jnl`	Riemannian Multigrid Line Search for Low-Rank Problems. SIAM J. Sci. Comput. Marco Sutti, Bart Vandereycken
2020	J	`jnl`	Multilevel Riemannian optimization for low-rank problems. CoRR Marco Sutti, Bart Vandereycken
2020	J	`jnl`	The leapfrog algorithm as nonlinear Gauss-Seidel. CoRR Marco Sutti, Bart Vandereycken
2019	J	`jnl`	A globally convergent method to compute the real stability radius for time-delay systems. Syst. Control. Lett. Francesco Borgioli, Wim Michiels, Ding Lu, Bart Vandereycken
2019	J	`jnl`	Projection Methods for Dynamical Low-Rank Approximation of High-Dimensional Problems. Comput. Methods Appl. Math. Emil Kieri, Bart Vandereycken
2018	J	`jnl`	Robust Rayleigh Quotient Minimization and Nonlinear Eigenvalue Problems. SIAM J. Sci. Comput. Zhaojun Bai, Ding Lu, Bart Vandereycken
2018	J	`jnl`	Subspace Acceleration for the Crawford Number and Related Eigenvalue Optimization Problems. SIAM J. Matrix Anal. Appl. Daniel Kressner, Ding Lu, Bart Vandereycken
2018	J	`jnl`	Time Integration of Rank-Constrained Tucker Tensors. SIAM J. Numer. Anal. Christian Lubich, Bart Vandereycken, Hanna Walach
2017	J	`jnl`	Criss-Cross Type Algorithms for Computing the Real Pseudospectral Abscissa. SIAM J. Matrix Anal. Appl. Ding Lu, Bart Vandereycken
2016	J	`jnl`	Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure. SIAM J. Sci. Comput. Daniel Kressner, Michael Steinlechner, Bart Vandereycken
2015	J	`jnl`	Time Integration of Tensor Trains. SIAM J. Numer. Anal. Christian Lubich, Ivan V. Oseledets, Bart Vandereycken
2014	A*	`conf`	Riemannian Pursuit for Big Matrix Recovery. ICML Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan
2014	J	`jnl`	Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius. SIAM J. Matrix Anal. Appl. Daniel Kressner, Bart Vandereycken
2013	J	`jnl`	Dynamical Approximation by Hierarchical Tucker and Tensor-Train Tensors. SIAM J. Matrix Anal. Appl. Christian Lubich, Thorsten Rohwedder, Reinhold Schneider, Bart Vandereycken
2013	J	`jnl`	Low-Rank Matrix Completion by Riemannian Optimization. SIAM J. Optim. Bart Vandereycken
2010	J	`jnl`	A Riemannian Optimization Approach for Computing Low-Rank Solutions of Lyapunov Equations. SIAM J. Matrix Anal. Appl. Bart Vandereycken, Stefan Vandewalle
2009	J	`jnl`	The Smoothed Spectral Abscissa for Robust Stability Optimization. SIAM J. Optim. Joris Vanbiervliet, Bart Vandereycken, Wim Michiels, Stefan Vandewalle, Moritz Diehl