Klaus Neymeyr

21 papers A 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward genuine efficiency and cluster robustness of preconditioned CG-like eigensolvers.
CoRR
Ming Zhou, Klaus Neymeyr
2025 J jnl
Angle-Free Cluster-Robust Ritz Value Bounds for Restarted Block Eigensolvers.
Numer. Linear Algebra Appl.
Ming Zhou, Andrew Knyazev, Klaus Neymeyr
2023 J jnl
Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation.
Numer. Linear Algebra Appl.
Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr
2023 J jnl
Sharp Majorization-Type Cluster Robust Bounds for Block Filters and Eigensolvers.
SIAM J. Matrix Anal. Appl.
Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr
2022 J jnl
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers.
CoRR
Ming Zhou, Andrew V. Knyazev, Klaus Neymeyr
2022 J jnl
Convergence analysis of a block preconditioned steepest descent eigensolver with implicit deflation.
CoRR
Ming Zhou, Zhaojun Bai, Yunfeng Cai, Klaus Neymeyr
2022 J jnl
Convergence rates of individual Ritz values in block preconditioned gradient-type eigensolvers.
CoRR
Ming Zhou, Klaus Neymeyr
2022 J jnl
Majorization-type cluster robust bounds for block filters and eigensolvers.
CoRR
Ming Zhou, Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr
2019 J jnl
Cluster robust estimates for block gradient-type eigensolvers.
Math. Comput.
Ming Zhou, Klaus Neymeyr
2019 A conf
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization.
AISTATS
Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr
2018 J jnl
On the Set of Solutions of the Nonnegative Matrix Factorization Problem.
SIAM J. Matrix Anal. Appl.
Klaus Neymeyr, Mathias Sawall
2018 J jnl
Towards a Theoretical Understanding of Batch Normalization.
CoRR
Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Ming Zhou, Klaus Neymeyr, Thomas Hofmann
2017 J jnl
Convergence Theory for Preconditioned Eigenvalue Solvers in a Nutshell.
Found. Comput. Math.
Merico E. Argentati, Andrew V. Knyazev, Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou
2016 J jnl
Convergence Analysis of Restarted Krylov Subspace Eigensolvers.
SIAM J. Matrix Anal. Appl.
Klaus Neymeyr, Ming Zhou
2014 J jnl
Iterative minimization of the Rayleigh quotient by block steepest descent iterations.
Numer. Linear Algebra Appl.
Klaus Neymeyr, Ming Zhou
2012 J jnl
A Geometric Convergence Theory for the Preconditioned Steepest Descent Iteration.
SIAM J. Numer. Anal.
Klaus Neymeyr
2011 J jnl
Convergence Analysis of Gradient Iterations for the Symmetric Eigenvalue Problem.
SIAM J. Matrix Anal. Appl.
Klaus Neymeyr, Evgueni E. Ovtchinnikov, Ming Zhou
2009 J jnl
Gradient Flow Approach to Geometric Convergence Analysis of Preconditioned Eigensolvers.
SIAM J. Matrix Anal. Appl.
Andrew V. Knyazev, Klaus Neymeyr
2005 J jnl
A note on Inverse Iteration.
Numer. Linear Algebra Appl.
Klaus Neymeyr
2002 J jnl
A geometric theory for preconditioned inverse iteration applied to a subspace.
Math. Comput.
Klaus Neymeyr
2002 J jnl
Multilevel Method for Mixed Eigenproblems.
SIAM J. Sci. Comput.
Ralf Hiptmair, Klaus Neymeyr