Tropp, Joel
- Levin, Eitan (2026) Any-Dimensional Data Science: Learning, Optimization, and Sampling; 10.7907/azc4-2j33
- Levin, Eitan (2026) Any-Dimensional Data Science: Learning, Optimization, and Sampling; 10.7907/azc4-2j33
- Epperly, Ethan Nicholas (2025) Make the Most of What You Have: Resource-Efficient Randomized Algorithms for Matrix Computations; 10.7907/pef3-mg80
- Chen, Yuhua Richard (2017) Concentration Inequalities of Random Matrices and Solving Ptychography with a Convex Relaxation; 10.7907/Z9M906MF
- Bruer, John Jacob (2017) Recovering Structured Low-rank Operators Using Nuclear Norms; 10.7907/Z9F18WQS
- McCoy, Michael Brian (2013) A Geometric Analysis of Convex Demixing; 10.7907/156S-EZ89
- Gittens, Alex A. (2013) Topics in Randomized Numerical Linear Algebra; 10.7907/3K1S-R458