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ORCIDEthan Epperly
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2020 – today
- 2024
[j5]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): 1-23 (2024)- [j4]Ethan N. Epperly:
Fast and Forward Stable Randomized Algorithms for Linear Least-Squares Problems. SIAM J. Matrix Anal. Appl. 45(4): 1782-1804 (2024) - [j3]Ethan N. Epperly, Joel A. Tropp:
Efficient Error and Variance Estimation for Randomized Matrix Computations. SIAM J. Sci. Comput. 46(1): 508- (2024) - [c2]Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang:
The ESPRIT Algorithm Under High Noise: Optimal Error Scaling and Noisy Super-Resolution. FOCS 2024: 2344-2366 - [i14]Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang:
The ESPRIT algorithm under high noise: Optimal error scaling and noisy super-resolution. CoRR abs/2404.03885 (2024) - [i13]Heather Wilber, Ethan N. Epperly, Alex H. Barnett:
A superfast direct inversion method for the nonuniform discrete Fourier transform. CoRR abs/2404.13223 (2024) - [i12]Ethan N. Epperly, Maike Meier, Yuji Nakatsukasa:
Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers. CoRR abs/2406.03468 (2024) - [i11]Ethan N. Epperly, Joel A. Tropp, Robert J. Webber:
Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky. CoRR abs/2410.03969 (2024) - [i10]Ethan N. Epperly, Gil Goldshlager, Robert J. Webber:
Randomized Kaczmarz with tail averaging. CoRR abs/2411.19877 (2024) - 2023
- [c1]Ethan Epperly, Elvira Moreno:
Kernel Quadrature with Randomly Pivoted Cholesky. NeurIPS 2023 - [i9]Ethan N. Epperly, Joel A. Tropp, Robert J. Webber:
XTrace: Making the most of every sample in stochastic trace estimation. CoRR abs/2301.07825 (2023) - [i8]Mateo Díaz, Ethan N. Epperly, Zachary Frangella, Joel A. Tropp, Robert J. Webber:
Robust, randomized preconditioning for kernel ridge regression. CoRR abs/2304.12465 (2023) - [i7]Ethan N. Epperly, Elvira Moreno:
Kernel Quadrature with Randomly Pivoted Cholesky. CoRR abs/2306.03955 (2023) - [i6]Ethan N. Epperly:
Fast and forward stable randomized algorithms for linear least-squares problems. CoRR abs/2311.04362 (2023) - 2022
- [j2]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): 912-938 (2022) - [j1]Ethan N. Epperly, Lin Lin, Yuji Nakatsukasa:
A Theory of Quantum Subspace Diagonalization. SIAM J. Matrix Anal. Appl. 43(3): 1263-1290 (2022) - [i5]Ethan N. Epperly, Joel A. Tropp:
Jackknife Variability Estimation For Randomized Matrix Computations. CoRR abs/2207.06342 (2022) - [i4]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 abs/2207.06503 (2022) - 2021
- [i3]Ethan N. Epperly, Nithin Govindarajan, Shivkumar Chandrasekaran:
Minimal Rank Completions for Overlapping Blocks. CoRR abs/2106.11267 (2021) - [i2]Ethan N. Epperly, Lin Lin, Yuji Nakatsukasa:
A Theory of Quantum Subspace Diagonalization. CoRR abs/2110.07492 (2021)
2010 – 2019
- 2019
- [i1]Shivkumar Chandrasekaran, Ethan Epperly, Nithin Govindarajan:
Graph-Induced Rank Structures and their Representations. CoRR abs/1911.05858 (2019)
Coauthor Index
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