Miles E. Lopes

According to our database, Miles E. Lopes authored at least 13 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.

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

CoRR, 2023

Error Estimation for Random Fourier Features.

Junwen Yao, N. Benjamin Erichson, Miles E. Lopes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Randomized Algorithms for Scientific Computing (RASC).

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

CoRR, 2021

2020

Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting.

Miles E. Lopes, Suofei Wu, Thomas C. M. Lee

SIAM J. Math. Data Sci., 2020

Error Estimation for Sketched SVD via the Bootstrap.

Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney

Proceedings of the 37th International Conference on Machine Learning, 2020

Estimating the Error of Randomized Newton Methods: A Bootstrap Approach.

Jessie X. T. Chen, Miles E. Lopes

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication.

Miles E. Lopes, Shusen Wang, Michael W. Mahoney

J. Mach. Learn. Res., 2019

Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching.

Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney

CoRR, 2019

2018

Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap.

Miles E. Lopes, Shusen Wang, Michael W. Mahoney

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Unknown Sparsity in Compressed Sensing: Denoising and Inference.

Miles E. Lopes

IEEE Trans. Inf. Theory, 2016

2015

Compressed Sensing without Sparsity Assumptions.

Miles E. Lopes

CoRR, 2015

2013

The Convergence Rate of Majority Vote under Exchangeability

Miles E. Lopes

CoRR, 2013

2012

Estimating Unknown Sparsity in Compressed Sensing

Miles E. Lopes

CoRR, 2012