Estimating Unknown Sparsity in Compressed Sensing - Miles E. Lopes (CoRR, 2012)

The Convergence Rate of Majority Vote under Exchangeability - Miles E. Lopes (CoRR, 2013)

Compressed Sensing without Sparsity Assumptions. - Miles E. Lopes (CoRR, 2015)

Unknown Sparsity in Compressed Sensing: Denoising and Inference. - Miles E. Lopes (IEEE Trans. Inf. Theory, 2016)

Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. - Miles E. Lopes; Shusen Wang; Michael W. Mahoney (ICML, 2018)

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)

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. - Miles E. Lopes; Shusen Wang; Michael W. Mahoney (J. Mach. Learn. Res., 2019)

Estimating the Error of Randomized Newton Methods: A Bootstrap Approach. - Jessie X. T. Chen; Miles E. Lopes (ICML, 2020)

Error Estimation for Sketched SVD via the Bootstrap. - Miles E. Lopes; N. Benjamin Erichson; Michael W. Mahoney (ICML, 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)

Randomized Algorithms for Scientific Computing (RASC). - Aydin Buluç; Tamara G. Kolda; Stefan M. Wild; Mihai Anitescu; Anthony M. DeGennaro; John Jakeman; Chandrika Kamath 001; Ramakrishnan Kannan; Miles E. Lopes; Per-Gunnar Martinsson; Kary L. Myers; Jelani Nelson; et al. (CoRR, 2021)

Error Estimation for Random Fourier Features. - Junwen Yao; N. Benjamin Erichson; Miles E. Lopes (AISTATS, 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; et al. (CoRR, 2023)

Empirical Error Estimates for Graph Sparsification. - Siyao Wang; Miles E. Lopes (AISTATS, 2025)