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Miles Lopes

6 papers · 2011–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (3) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Venues

ICML (4) NeurIPS (2)

Top co-authors

Michael Mahoney (2) Laurent Jacob (1) Martin J. Wainwright (1) Jessie X.T. Chen (1) Shusen Wang (1) N. Benjamin Erichson (1)

Research topics

Machine Learning (6) Mathematics & Optimization (6) Mathematics (5) Optimization & Theory Β· Machine Learning (5) Optimization (4) Core Methods (3) Statistics (2) Data Science & Analytics (1) Deep Learning (1) Methods (1) Optimization & Theory Β· Deep Learning (1)

Keywords

error estimation (3) bootstrap method (3) random projection (2) confidence interval (2) distributed optimization (1) high-dimensional statistics (1) hypothesis testing (1) two-sample test (1) singular value decomposition (1) matrix approximation (1) high-dimensional regression (1) sparse optimization (1) low-rank matrix (1) signal recovery (1) hotelling t-squared (1) matrix recovery (1) numerical linear algebra (1) linear measurement (1) randomized algorithm (1) high-dimensional linear regression (1)

Papers

Error Estimation for Sketched SVD via the Bootstrap ICML 2020 Estimating the Error of Randomized Newton Methods: A Bootstrap Approach ICML 2020 Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap ICML 2018 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 Estimating Unknown Sparsity in Compressed Sensing ICML 2013 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011