Alice Cortinovis

23 papers C 1Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Randomized Pivoting for Column Subset Selection, DEIM, and Low-Rank Approximation.
SIAM J. Matrix Anal. Appl.
Alice Cortinovis, Daniel Kressner
2026 J jnl
Computing the density of the Kesten-Stigum limit in supercritical Galton-Watson processes.
CoRR
Alice Cortinovis, Sophie Hautphenne, Stefano Massei
2026 J jnl
Preconditioned log-determinant approximation: one Gaussian probe vector is almost always enough.
CoRR
Alice Cortinovis, Daniele Toni
2025 J jnl
A Sublinear-Time Randomized Algorithm for Column and Row Subset Selection Based on Strong Rank-Revealing QR Factorizations.
SIAM J. Matrix Anal. Appl.
Alice Cortinovis, Lexing Ying
2024 J jnl
A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations.
CoRR
Alice Cortinovis, Lexing Ying
2024 J jnl
Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation.
CoRR
Alice Cortinovis, Daniel Kressner
2024 J jnl
Improved bounds for randomized Schatten norm estimation of numerically low-rank matrices.
CoRR
Ya-Chi Chu, Alice Cortinovis
2024 J jnl
Speeding Up Krylov Subspace Methods for Computing \(\boldsymbol{{f}(A){b}}\) via Randomization.
SIAM J. Matrix Anal. Appl.
Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa
2023 J jnl
Computing Free Convolutions via Contour Integrals.
CoRR
Alice Cortinovis, Lexing Ying
2022 J jnl
Divide-and-Conquer Methods for Functions of Matrices with Banded or Hierarchical Low-Rank Structure.
SIAM J. Matrix Anal. Appl.
Alice Cortinovis, Daniel Kressner, Stefano Massei
2022 — —
Fast deterministic and randomized algorithms for low-rank approximation, matrix functions, and trace estimation.
Alice Cortinovis
2022 J jnl
Improved Variants of the Hutch++ Algorithm for Trace Estimation.
SIAM J. Matrix Anal. Appl.
David Persson, Alice Cortinovis, Daniel Kressner
2022 J jnl
On Randomized Trace Estimates for Indefinite Matrices with an Application to Determinants.
Found. Comput. Math.
Alice Cortinovis, Daniel Kressner
2022 J jnl
Speeding up Krylov subspace methods for computing f(A)b via randomization.
CoRR
Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa
2021 J jnl
Divide and conquer methods for functions of matrices with banded or hierarchical low-rank structure.
CoRR
Alice Cortinovis, Daniel Kressner, Stefano Massei
2021 J jnl
Improved variants of the Hutch++ algorithm for trace estimation.
CoRR
David Persson, Alice Cortinovis, Daniel Kressner
2021 J jnl
Low-Rank Updates of Matrix Functions II: Rational Krylov Methods.
SIAM J. Numer. Anal.
Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer
2020 J jnl
Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection.
SIAM J. Matrix Anal. Appl.
Alice Cortinovis, Daniel Kressner
2020 J jnl
Low-rank updates of matrix functions II: Rational Krylov methods.
CoRR
Bernhard Beckermann, Alice Cortinovis, Daniel Kressner, Marcel Schweitzer
2020 J jnl
On randomized trace estimates for indefinite matrices with an application to determinants.
CoRR
Alice Cortinovis, Daniel Kressner
2020 C conf
Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation.
ACC
Alice Cortinovis, Daniel Kressner, Stefano Massei, Benjamin Peherstorfer
2019 J jnl
Low-rank approximation in the Frobenius norm by column and row subset selection.
CoRR
Alice Cortinovis, Daniel Kressner
2019 J jnl
On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices.
CoRR
Alice Cortinovis, Daniel Kressner, Stefano Massei