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Miles E. Lopes
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2020 – today
- 2023
- [c4]Junwen Yao, N. Benjamin Erichson, Miles E. Lopes:
Error Estimation for Random Fourier Features. AISTATS 2023: 2348-2364 - [i11]Junwen Yao, N. Benjamin Erichson, Miles E. Lopes:
Error Estimation for Random Fourier Features. CoRR abs/2302.11174 (2023) - [i10]Riley Murray, James Demmel, Michael W. Mahoney, N. Benjamin Erichson, Maksim Melnichenko, Osman Asif Malik, Laura Grigori, Piotr Luszczek, Michal Derezinski, Miles E. Lopes, Tianyu Liang, Hengrui Luo, Jack J. Dongarra:
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. CoRR abs/2302.11474 (2023) - 2021
- [i9]Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021) - 2020
- [j3]Miles E. Lopes, Suofei Wu, Thomas C. M. Lee:
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. SIAM J. Math. Data Sci. 2(4): 921-943 (2020) - [c3]Jessie X. T. Chen, Miles E. Lopes:
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach. ICML 2020: 1649-1659 - [c2]Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Error Estimation for Sketched SVD via the Bootstrap. ICML 2020: 6382-6392 - [i8]Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Error Estimation for Sketched SVD via the Bootstrap. CoRR abs/2003.04937 (2020)
2010 – 2019
- 2019
- [j2]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. J. Mach. Learn. Res. 20: 39:1-39:40 (2019) - [i7]Miles E. Lopes, Suofei Wu, Thomas C. M. Lee:
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. CoRR abs/1908.01251 (2019) - [i6]Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney:
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching. CoRR abs/1909.06120 (2019) - 2018
- [c1]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. ICML 2018: 3223-3232 - [i5]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. CoRR abs/1803.08021 (2018) - 2017
- [i4]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. CoRR abs/1708.01945 (2017) - 2016
- [j1]Miles E. Lopes:
Unknown Sparsity in Compressed Sensing: Denoising and Inference. IEEE Trans. Inf. Theory 62(9): 5145-5166 (2016) - 2015
- [i3]Miles E. Lopes:
Compressed Sensing without Sparsity Assumptions. CoRR abs/1507.07094 (2015) - 2013
- [i2]Miles E. Lopes:
The Convergence Rate of Majority Vote under Exchangeability. CoRR abs/1303.0727 (2013) - 2012
- [i1]Miles E. Lopes:
Estimating Unknown Sparsity in Compressed Sensing. CoRR abs/1204.4227 (2012)
Coauthor Index
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