Miles E. Lopes

20 papers A* 3A 2Journal 15
YearRankTypeTitle / Venue / Authors
2025 A conf
Empirical Error Estimates for Graph Sparsification.
AISTATS
Siyao Wang, Miles E. Lopes
2025 J jnl
Empirical Error Estimates for Graph Sparsification.
CoRR
Siyao Wang, Miles E. Lopes
2023 A conf
Error Estimation for Random Fourier Features.
AISTATS
Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
2023 J jnl
Error Estimation for Random Fourier Features.
CoRR
Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
2023 J jnl
Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.
CoRR
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
2021 J jnl
Randomized Algorithms for Scientific Computing (RASC).
CoRR
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
2020 A* conf
Error Estimation for Sketched SVD via the Bootstrap.
ICML
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
2020 J jnl
Error Estimation for Sketched SVD via the Bootstrap.
CoRR
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
2020 A* conf
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach.
ICML
Jessie X. T. Chen, Miles E. Lopes
2020 J jnl
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.
SIAM J. Math. Data Sci.
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
2019 J jnl
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication.
J. Mach. Learn. Res.
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2019 J jnl
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching.
CoRR
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney
2019 J jnl
Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.
CoRR
Miles E. Lopes, Suofei Wu, Thomas C. M. Lee
2018 A* conf
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap.
ICML
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2018 J jnl
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap.
CoRR
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2017 J jnl
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication.
CoRR
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2016 J jnl
Unknown Sparsity in Compressed Sensing: Denoising and Inference.
IEEE Trans. Inf. Theory
Miles E. Lopes
2015 J jnl
Compressed Sensing without Sparsity Assumptions.
CoRR
Miles E. Lopes
2013 J jnl
The Convergence Rate of Majority Vote under Exchangeability
CoRR
Miles E. Lopes
2012 J jnl
Estimating Unknown Sparsity in Compressed Sensing
CoRR
Miles E. Lopes