Ethan N. Epperly

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Discrete Fourier Transform

Component Analysis

Top Venues

SIAM J. Matrix Anal. Appl.

SIAM J. Sci. Comput.

Publications

Heather Wilber, Ethan N. Epperly, Alex H. Barnett
A superfast direct inversion method for the nonuniform discrete Fourier transform. CoRR (2024)
Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
XTrace: Making the Most of Every Sample in Stochastic Trace Estimation. SIAM J. Matrix Anal. Appl. 45 (1) (2024)
Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang
The ESPRIT algorithm under high noise: Optimal error scaling and noisy super-resolution. CoRR (2024)
Ethan N. Epperly, Joel A. Tropp
Efficient Error and Variance Estimation for Randomized Matrix Computations. SIAM J. Sci. Comput. 46 (1) (2024)
Ethan N. Epperly, Maike Meier, Yuji Nakatsukasa
Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers. CoRR (2024)
Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
XTrace: Making the most of every sample in stochastic trace estimation. CoRR (2023)
Mateo Díaz, Ethan N. Epperly, Zachary Frangella, Joel A. Tropp, Robert J. Webber
Robust, randomized preconditioning for kernel ridge regression. CoRR (2023)
Ethan N. Epperly
Fast and forward stable randomized algorithms for linear least-squares problems. CoRR (2023)
Ethan N. Epperly, Elvira Moreno
Kernel Quadrature with Randomly Pivoted Cholesky. CoRR (2023)
Ethan N. Epperly, Lin Lin, Yuji Nakatsukasa
A Theory of Quantum Subspace Diagonalization. SIAM J. Matrix Anal. Appl. 43 (3) (2022)
Yifan Chen, Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations. CoRR (2022)
Nithin Govindarajan, Ethan N. Epperly, Lieven De Lathauwer
$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Ethan N. Epperly, Joel A. Tropp
Jackknife Variability Estimation For Randomized Matrix Computations. CoRR (2022)
Ethan N. Epperly, Lin Lin, Yuji Nakatsukasa
A Theory of Quantum Subspace Diagonalization. CoRR (2021)
Ethan N. Epperly, Nithin Govindarajan, Shivkumar Chandrasekaran
Minimal Rank Completions for Overlapping Blocks. CoRR (2021)