- Nakatasukasa, Yuji and Tropp, Joel A. (2022) Fast
& accurate randomized algorithms for linear systems and eigenvalue
problems; 10.7907/cmyh-va31
- Lotz, Martin and Tropp, Joel A. (2022) Sharp
phase transitions in Euclidian integral geometry; 10.7907/9rja-rh15
- Probel, Clément J. and Tropp, Joel A. (2022) Large-Scales
PCA with Sparsity Constraints; 10.7907/51g8-zc61
- Tropp, Joel A.; Yurtsever, Alp; et el. (2022) More
practical sketching algorithms for low-rank matrix approximation; 10.7907/bb7w-ve61
- Tropp, Joel A. (2021) Analysis
of randomized block Krylov methods
- Sun, Yiming; Guo, Yang; et el. (2021) Tensor
Random Projection for Low Memory Dimension Reduction; 10.48550/arXiv.2105.00105
- Kueng, Richard and Tropp, Joel A. (2020) Binary
Component Decomposition. Part I: The Positive-Semidefinite Case; 10.48550/arXiv.1907.13603
- Chen, Chi-Fang; Huang, Hsin-Yuan (Robert); et el. (2020) Quantum
simulation via randomized product formulas: Low gate complexity with
accuracy guarantees; 10.48550/arXiv.2008.11751
- Yurtsever, Alp; Tropp, Joel A.; et el. (2020) Scalable
Semidefinite Programming; 10.48550/arXiv.1912.02949
- Kueng, Richard and Tropp, Joel A. (2020) Binary
component decomposition. Part II: The asymmetric case; 10.48550/arXiv.1907.13602
- Paulin, Daniel; Mackey, Lester; et el. (2018) Deriving
Matrix Concentration Inequalities from Kernel Couplings; 10.48550/arXiv.1305.0612
- Chen, Richard Y.; Gittens, Alex; et el. (2018) The
Masked Sample Covariance Estimator: An Analysis via Matrix Concentration
Inequalities; 10.48550/arXiv.1109.1637
- Gilbert, A. C.; Strauss, M. J.; et el. (2018) Algorithmic
linear dimension reduction in the ℓ_1 norm for sparse vectors; 10.48550/arXiv.0608079
- Yurtsever, Alp; Udell, Madeleine; et el. (2018) Sketchy
Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage;
10.48550/arXiv.1702.06838
- Tropp, Joel A.; Yurtsever, Alp; et el. (2017) Fixed-Rank
Approximation of a Positive-Semidefinite Matrix from Streaming Data;
10.7907/QJE2-RP11
- McCoy, Michael B. and Tropp, Joel A. (2017) The
Achievable Performance of Convex Demixing; 10.7907/4KWM-5N31
- Tropp, Joel A.; Yurtsever, Alp; et el. (2017) Randomized
Single-View Algorithms for Low-Rank Matrix Approximation; 10.7907/Z9HT2M9C
- Oymak, Samet and Tropp, Joel A. (2015) Universality
laws for randomized dimension reduction, with applications; 10.48550/arXiv.1511.09433
- Tropp, Joel A. (2015) Second-Order
Matrix Concentration Inequalities; 10.48550/arXiv.1504.05919
- Moarref, Rashad; Sharma, Ati S.; et el. (2014) A
foundation for analytical developments in the logarithmic region of
turbulent channels; 10.48550/arXiv.1409.6047
- Gittens, A. and Tropp, J. A. (2014) Error
Bounds for Random Matrix Approximation Schemes; 10.7907/03an-qj61
- Gittens, Alex A. and Tropp, Joel A. (2014) Tail
Bounds for All Eigenvalues of a Sum of Random Matrices; 10.7907/tz8n-h623
- McCoy, Michael B. and Tropp, Joel A. (2013) The
achievable performance of convex demixing; 10.48550/arXiv.1309.7478
- Chen, Richard Y.; Gittens, Alex A.; et el. (2012) The
Masked Sample Covariance Estimator: An Analysis via the Matrix Laplace
Transform; 10.7907/6rfh-ce56
- Needell, D. and Tropp, J. A. (2011) CoSaMP:
Iterative Signal Recovery from Incomplete and Inaccurate Samples; 10.7907/KE0N-TN13
- Tropp, Joel A. (2011) Column
Subset Selection, Matrix Factorization, and Eigenvalue Optimization;
10.7907/82PQ-TF75
- Tropp, Joel A. and Wright, Stephen J. (2011) Computational
Methods for Sparse Solution of Linear Inverse Problems; 10.7907/QF0D-J303
- Halko, N.; Martinsson, P. G.; et el. (2011) Finding
Structure with Randomness: Stochastic Algorithms for Constructing
Approximate matrix Decompositions; 10.7907/PK8V-V047
- Tropp, Joel A. and Gilbert, Anna C. (2011) Signal
Recovery from Random Measurements Via Orthogonal Matching Pursuit: The
Gaussian Case; 10.7907/EG9R-Y984
- Tropp, Joel A. (2011) User-Friendly
Tail Bounds for Sums of Random Matrices; 10.7907/A14X-R435
- Tropp, Joel A. (2011) User-friendly
Tail Bounds for Matrix Martingales; 10.7907/62v9-yh77