Here are a list of my published articles, technical reports, and preprints in chronological order. In most of my published work, authors are listed alphabetically. Papers which do *not* follow this convention are marked with a ^{†}.

- Z. Ding,
**E. N. Epperly**, L. Lin, & R. Zhang (2024). The ESPRIT algorithm under high noise: Optimal error scaling and noisy super-resolution.*Foundations of Computer Science 2024, accepted*. (preprint) **E. N Epperly**, M. Meier, & Y. Nakatsukasa (2024). Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers.*arXiv preprint arXiv:2406.03468**[math.NA].***E. N. Epperly**(2024). Fast and forward stable randomized algorithms for linear least-squares problems.*SIAM Journal on Matrix Analysis and Applications, accepted.*(preprint).- H. Wilber,
**E. N. Epperly**, & A. H. Barnett (2024). A superfast direct inversion method for the nonuniform discrete Fourier transform.*arXiv preprint arXiv:2404.13223 [math.NA].*^{†} **E. N. Epperly**& J. A. Tropp (2024). Efficient error and variance estimation for randomized matrix computations.(preprint)*SIAM Journal on Scientific Computing*.**E. N. Epperly**, J. A. Tropp, & R. J. Webber (2024). XTrace: Making the most of every sample in stochastic trace estimation.(preprint)*SIAM Journal on Matrix Analysis and Applications*.& E. Moreno (2023). Kernel quadrature with randomly pivoted Cholesky.**E. N. Epperly***NeurIPS 2023*, spotlight. (preprint)- M. Díaz,
**E. N. Epperly**, Z. Frangella, J. A. Tropp, & R. J. Webber (2023). Robust, randomized preconditioning for kernel ridge regression.*arXiv preprint**arXiv:2304.12465 [math.NA]*. - Y. Chen,
**E. N. Epperly**, J. A. Tropp, & R. J. Webber (2022). Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations.*arXiv preprint arXiv:2207.06503 [math.NA]*. **E. N. Epperly**, L. Lin, & Y. Nakatsukasa (2022). A theory of quantum subspace diagonalization.(preprint)*SIAM Journal on Matrix Analysis and Applications*.- N. Govindarajan,
**E. N. Epperly**, & L. De Lathauwer (2022). -decompositions, sparse component analysis, and the blind separation of sums of exponentials.*SIAM Journal on Matrix Analysis and Applications*. (preprint)^{†} **E. N. Epperly**, N. Govindarajan, & S. Chandrasekaran (2021). Minimal rank completions for overlapping blocks.*Linear Algebra and its Applications.*(preprint)^{†}**E. N. Epperly**, A. T. Barker, & R. D. Falgout (2020). Smoothers for matrix-free algebraic multigrid preconditioning of high-order finite elements.*LLNL Technical Report.*^{†}**E. N. Epperly**& R. B. Sills (2020). Transient solute drag and strain aging of dislocations.*Acta Materialia*.^{†}**E. N. Epperly**& R. B. Sills (2020). Comparison of continuum and cross-core theories of dynamic strain aging.*Journal of the Mechanics and Physics of Solids*, 103944.^{†}- S. Chandrasekaran,
**E. N. Epperly**, & N. Govindarajan (2019). Graph-induced rank structures and their representations.*arXiv preprint arXiv:1911.05858 [math.NA]*.