Graph-Induced Rank Structures and their Representations. - Shivkumar Chandrasekaran; Ethan Epperly; Nithin Govindarajan (CoRR, 2019)

Minimal Rank Completions for Overlapping Blocks. - Ethan N. Epperly; Nithin Govindarajan; Shivkumar Chandrasekaran (CoRR, 2021)

Jackknife Variability Estimation For Randomized Matrix Computations. - Ethan N. Epperly; Joel A. Tropp (CoRR, 2022)

Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations. - Yifan Chen; Ethan N. Epperly; Joel A. Tropp; Robert J. Webber (CoRR, 2022)

$(L_r, L_r, 1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials. - Nithin Govindarajan; Ethan N. Epperly; Lieven De Lathauwer (SIAM J. Matrix Anal. Appl., 2022)

A Theory of Quantum Subspace Diagonalization. - Ethan N. Epperly; Lin Lin 001; Yuji Nakatsukasa (SIAM J. Matrix Anal. Appl., 2022)

Kernel Quadrature with Randomly Pivoted Cholesky. - Ethan Epperly; Elvira Moreno (NeurIPS, 2023)

Robust, randomized preconditioning for kernel ridge regression. - Mateo Díaz; Ethan N. Epperly; Zachary Frangella; Joel A. Tropp; Robert J. Webber (CoRR, 2023)

The ESPRIT Algorithm Under High Noise: Optimal Error Scaling and Noisy Super-Resolution. - Zhiyan Ding; Ethan N. Epperly; Lin Lin 001; Ruizhe Zhang 016 (FOCS, 2024)

A superfast direct inversion method for the nonuniform discrete Fourier transform. - Heather Wilber; Ethan N. Epperly; Alex H. Barnett (CoRR, 2024)

Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers. - Ethan N. Epperly; Maike Meier; Yuji Nakatsukasa (CoRR, 2024)

Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky. - Ethan N. Epperly; Joel A. Tropp; Robert J. Webber (CoRR, 2024)

Randomized Kaczmarz with tail averaging. - Ethan N. Epperly; Gil Goldshlager; Robert J. Webber (CoRR, 2024)

Fast and Forward Stable Randomized Algorithms for Linear Least-Squares Problems. - Ethan N. Epperly (SIAM J. Matrix Anal. Appl., 2024)

Efficient Error and Variance Estimation for Randomized Matrix Computations. - Ethan N. Epperly; Joel A. Tropp (SIAM J. Sci. Comput., 2024)

XTrace: Making the Most of Every Sample in Stochastic Trace Estimation. - Ethan N. Epperly; Joel A. Tropp; Robert J. Webber (SIAM J. Matrix Anal. Appl., 2024)

Superfast Direct Inversion of the Nonuniform Discrete Fourier Transform via Hierarchically Semiseparable Least Squares. - Heather Wilber; Ethan N. Epperly; Alex H. Barnett (SIAM J. Sci. Comput., 2025)

Stable algorithms for general linear systems by preconditioning the normal equations. - Ethan N. Epperly; Anne Greenbaum; Yuji Nakatsukasa (CoRR, 2025)

Successive randomized compression: A randomized algorithm for the compressed MPO-MPS product. - Chris Camaño; Ethan N. Epperly; Joel A. Tropp (CoRR, 2025)

Does block size matter in randomized block Krylov low-rank approximation? - Tyler Chen; Ethan N. Epperly; Raphael A. Meyer; Christopher Musco; Akash Rao (CoRR, 2025)