Miles E. Lopes

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 16

Top Topics

Error Estimation

High Dimensions

Covariance Matrices

Randomized Algorithm

Top Venues

IEEE Trans. Inf. Theory

Publications

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 (2023)
Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
Error Estimation for Random Fourier Features. CoRR (2023)
Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
Error Estimation for Random Fourier Features. AISTATS (2023)
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary 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 (2021)
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
Error Estimation for Sketched SVD via the Bootstrap. ICML (2020)
Jessie X. T. Chen, Miles E. Lopes
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach. ICML (2020)
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
Error Estimation for Sketched SVD via the Bootstrap. CoRR (2020)
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) (2020)
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting. CoRR (2019)
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching. CoRR (2019)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. J. Mach. Learn. Res. 20 (2019)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. CoRR (2018)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. ICML (2018)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. CoRR (2017)
Miles E. Lopes
Unknown Sparsity in Compressed Sensing: Denoising and Inference. IEEE Trans. Inf. Theory 62 (9) (2016)
Miles E. Lopes
Compressed Sensing without Sparsity Assumptions. CoRR (2015)
Miles E. Lopes
The Convergence Rate of Majority Vote under Exchangeability CoRR (2013)
Miles E. Lopes
Estimating Unknown Sparsity in Compressed Sensing CoRR (2012)