Stefano Massei

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Matrix Completion

Top Venues

SIAM J. Matrix Anal. Appl.

SIAM J. Sci. Comput.

Numer. Linear Algebra Appl.

Publications

Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone, Stefano Massei, Stephen Thomas
Optimal Polynomial Smoothers for Parallel AMG. CoRR (2024)
Lu Xia, Stefano Massei, Michiel E. Hochstenbach, Barry Koren
On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation. J. Optim. Theory Appl. 200 (2) (2024)
Stefano Massei, Francesco Tudisco
Optimizing network robustness via Krylov subspaces. CoRR (2023)
Stefano Massei, Leonardo Robol
A nested divide-and-conquer method for tensor Sylvester equations with positive definite hierarchically semiseparable coefficients. CoRR (2023)
Daniel Kressner, Stefano Massei, Junli Zhu
Improved ParaDiag via low-rank updates and interpolation. Numerische Mathematik 155 (1-2) (2023)
Lu Xia, Stefano Massei
AdamL: A fast adaptive gradient method incorporating loss function. CoRR (2023)
Lu Xia, Michiel E. Hochstenbach, Stefano Massei
On the Convergence of the Gradient Descent Method with Stochastic Fixed-point Rounding Errors under the Polyak-Lojasiewicz Inequality. CoRR (2023)
Alice Cortinovis, Daniel Kressner, Stefano Massei
Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure. SIAM J. Matrix Anal. Appl. 43 (1) (2022)
Daniel Kressner, Stefano Massei, Junli Zhu
Improved parallel-in-time integration via low-rank updates and interpolation. CoRR (2022)
Stefano Massei, Leonardo Robol, Daniel Kressner
Hierarchical adaptive low-rank format with applications to discretized partial differential equations. Numer. Linear Algebra Appl. 29 (6) (2022)
Lu Xia, Stefano Massei, Michiel E. Hochstenbach, Barry Koren
On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation. CoRR (2022)
Stefano Massei, Leonardo Robol
Mixed Precision Recursive Block Diagonalization for Bivariate Functions of Matrices. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Alice Cortinovis, Daniel Kressner, Stefano Massei
Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure. CoRR (2021)
Stefano Massei, Leonardo Robol, Daniel Kressner
Hierarchical adaptive low-rank format with applications to discretized PDEs. CoRR (2021)
Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. Numer. Linear Algebra Appl. 28 (1) (2021)
Stefano Massei, Leonardo Robol
Mixed precision recursive block diagonalization for bivariate functions of matrices. CoRR (2021)
Daniel Kressner, Jonas Latz, Stefano Massei, Elisabeth Ullmann
Certified and fast computations with shallow covariance kernels. CoRR (2020)
Alice Cortinovis, Daniel Kressner, Stefano Massei, Benjamin Peherstorfer
Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation. ACC (2020)
Stefano Massei
Some algorithms for maximum volume and cross approximation of symmetric semidefinite matrices. CoRR (2020)
Stefano Massei, Leonardo Robol, Daniel Kressner
hm-toolbox: MATLAB Software for HODLR and HSS Matrices. SIAM J. Sci. Comput. 42 (2) (2020)
Sophie Hautphenne, Stefano Massei
A Low-Rank Technique for Computing the Quasi-Stationary Distribution of Subcritical Galton-Watson Processes. SIAM J. Matrix Anal. Appl. 41 (1) (2020)
Daniel Kressner, Kathryn Lund, Stefano Massei, Davide Palitta
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations. CoRR (2020)
Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol
A Computational Framework for Two-Dimensional Random Walks With Restarts. SIAM J. Sci. Comput. 42 (4) (2020)
Daniel Kressner, Patrick Kürschner, Stefano Massei
Low-rank updates and divide-and-conquer methods for quadratic matrix equations. Numer. Algorithms 84 (2) (2020)
Dario A. Bini, Stefano Massei, Leonardo Robol
Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. Numer. Algorithms 81 (2) (2019)
Stefano Massei, Leonardo Robol, Daniel Kressner
hm-toolbox: Matlab software for HODLR and HSS matrices. CoRR (2019)
Daniel Kressner, Stefano Massei, Leonardo Robol
Low-Rank Updates and a Divide-And-Conquer Method for Linear Matrix Equations. SIAM J. Sci. Comput. 41 (2) (2019)
Stefano Massei, Mariarosa Mazza, Leonardo Robol
Fast Solvers for Two-Dimensional Fractional Diffusion Equations Using Rank Structured Matrices. SIAM J. Sci. Comput. 41 (4) (2019)
Daniel Kressner, Patrick Kürschner, Stefano Massei
Low-rank updates and divide-and-conquer methods for quadratic matrix equations. CoRR (2019)
Stefano Massei, Leonardo Robol
Rational Krylov for Stieltjes matrix functions: convergence and pole selection. CoRR (2019)
Alice Cortinovis, Daniel Kressner, Stefano Massei
On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices. CoRR (2019)
Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol
A computational framework for two-dimensional random walks with restarts. CoRR (2019)
Dario A. Bini, Stefano Massei, Beatrice Meini, Leonardo Robol
On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes. Numer. Linear Algebra Appl. 25 (6) (2018)
Dario A. Bini, Stefano Massei, Beatrice Meini
Semi-infinite quasi-Toeplitz matrices with applications to QBD stochastic processes. Math. Comput. 87 (314) (2018)
Stefano Massei, Davide Palitta, Leonardo Robol
Solving Rank-Structured Sylvester and Lyapunov Equations. SIAM J. Matrix Anal. Appl. 39 (4) (2018)