Tropp, Joel A.

Article from CaltechAUTHORS

• Tropp, Joel A. (2022) Randomized block Krylov methods for approximating extreme eigenvalues; Numerische Mathematik; Vol. 150; No. 1; 217-255; 10.1007/s00211-021-01250-3
• Ding, Lijun and Yurtsever, Alp, et el. (2021) An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity; SIAM Journal of Optimization; Vol. 31; No. 4; 2695-2725; 10.1137/19m1244603
• Huang, De and Tropp, Joel A. (2021) From Poincaré inequalities to nonlinear matrix concentration; Bernoulli; Vol. 27; No. 3; 1724-1744; 10.3150/20-BEJ1289
• Huang, De and Tropp, Joel A. (2021) Nonlinear matrix concentration via semigroup methods; Electronic Journal of Probability; Vol. 26; Art. No. 8; 10.1214/20-EJP578
• Huang, De and Niles-Weed, Jonathan, et el. (2020) Matrix Concentration for Products; Foundations of Computational Mathematics; 10.1007/s10208-021-09533-9
• Martinsson, Per-Gunnar and Tropp, Joel A. (2020) Randomized numerical linear algebra: Foundations and algorithms; Acta Numerica; Vol. 29; 403-572; 10.1017/s0962492920000021
• Guta, M. and Kahn, J., et el. (2020) Fast state tomography with optimal error bounds; Journal of Physics A: Mathematical and General; Vol. 53; No. 20; Art. No. 204001; 10.1088/1751-8121/ab8111
• Tropp, Joel A. and Yurtsever, Alp, et el. (2019) Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation; SIAM Journal on Scientific Computing; Vol. 41; No. 4; A2430-A2463; 10.1137/18m1201068
• Tropp, Joel A. (2018) Simplicial Faces of the Set of Correlation Matrices; Discrete and Computational Geometry; Vol. 60; No. 2; 512-529; 10.1007/s00454-017-9961-0
• Tropp, Joel A. and Yurtsever, Alp, et el. (2017) Practical Sketching Algorithms for Low-Rank Matrix Approximation; SIAM Journal on Matrix Analysis and Applications; Vol. 38; No. 4; 1454-1485; 10.1137/17M1111590
• Tropp, Joel A. (2017) A mathematical introduction to compressive sensing [Book Review]; Bulletin of the American Mathematical Society; Vol. 54; No. 1; 151-165; 10.1090/bull/1546
• Paulin, Daniel and Mackey, Lester, et el. (2016) Efron–Stein inequalities for random matrices; Annals of Probability; Vol. 44; No. 5; 3431-3473; 10.1214/15-AOP1054
• Tropp, Joel A. (2015) Integer Factorization of a Positive-Definite Matrix; SIAM Journal on Discrete Mathematics; Vol. 29; No. 4; 1783-1791; 10.1137/15M1024718
• Bruer, John J. and Tropp, Joel A., et el. (2015) Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost; IEEE Journal of Selected Topics in Signal Processing; Vol. 9; No. 4; 612-624; 10.1109/JSTSP.2015.2400412
• Tropp, Joel A. (2015) An Introduction to Matrix Concentration Inequalities; Foundations and Trends in Machine Learning; Vol. 8; No. 1-2; 1-230; 10.1561/2200000048
• Horstmeyer, Roarke and Chen, Richard Y., et el. (2015) Solving ptychography with a convex relaxation; New Journal of Physics; Vol. 17; No. 5; Art. No. 053044; PMCID PMC4486359; 10.1088/1367-2630/17/5/053044
• Lerman, Gilad and McCoy, Michael B., et el. (2015) Robust Computation of Linear Models by Convex Relaxation; Foundations of Computational Mathematics; Vol. 15; No. 2; 363-410; 10.1007/s10208-014-9221-0
• Amelunxen, Dennis and Lotz, Martin, et el. (2014) Living on the edge: phase transitions in convex programs with random data; Information and Inference; Vol. 3; No. 3; 224-294; 10.1093/imaiai/iau005
• McCoy, Michael B. and Tropp, Joel A. (2014) From Steiner Formulas for Cones to Concentration of Intrinsic Volumes; Discrete and Computational Geometry; Vol. 51; No. 4; 926-963; 10.1007/s00454-014-9595-4
• McCoy, Michael B. and Tropp, Joel A. (2014) Sharp Recovery Bounds for Convex Demixing, with Applications; Foundations of Computational Mathematics; Vol. 14; No. 3; 503-567; 10.1007/s10208-014-9191-2
• Mackey, Lester and Jordan, Michael I., et el. (2014) Matrix concentration inequalities via the method of exchangeable pairs; Annals of Probability; Vol. 42; No. 3; 906-945; 10.1214/13-AOP892
• Moarref, R. and Jovanović, M. R., et el. (2014) A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization; Physics of Fluids; Vol. 26; No. 5; Art. No. 051701; 10.1063/1.4876195
• Chen, Richard Y. and Tropp, Joel A. (2014) Subadditivity of matrix φ-entropy and concentration of random matrices; Electronic Journal of Probability; Vol. 19; Art. No. 27; 10.1214/EJP.v19-2964
• Needell, Deanna and Tropp, Joel A. (2014) Paved with good intentions: Analysis of a randomized block Kaczmarz method; Linear Algebra and its Applications; Vol. 441; 199-221; 10.1016/j.laa.2012.12.022
• Bourguignon, J.-L. and Tropp, J. A., et el. (2014) Compact representation of wall-bounded turbulence using compressive sampling; Physics of Fluids; Vol. 26; No. 1; Art. No. 015109; 10.1063/1.4862303
• Moarref, Rashad and Sharma, Ati S., et el. (2013) Model-based scaling of the streamwise energy density in high-Reynolds-number turbulent channels; Journal of Fluid Mechanics; Vol. 734; 275-316; 10.1017/jfm.2013.457
• Pfander, Götz E. and Rauhut, Holger, et el. (2013) The restricted isometry property for time-frequency structured random matrices; Probability Theory and Related Fields; Vol. 156; No. 3-4; 707-737; 10.1007/s00440-012-0441-4
• Tropp, Joel A. (2012) User-Friendly Tail Bounds for Sums of Random Matrices; Foundations of Computational Mathematics; Vol. 12; No. 4; 389-434; 10.1007/s10208-011-9099-z
• Tropp, Joel A. (2012) A comparison principle for functions of a uniformly random subspace; Probability Theory and Related Fields; Vol. 153; No. 3-4; 759-769; 10.1007/s00440-011-0360-9
• Tropp, Joel A. (2012) From joint convexity of quantum relative entropy to a concavity theorem of Lieb; Proceedings of the American Mathematical Society; Vol. 140; No. 5; 1757-1760; 10.1090/S0002-9939-2011-11141-9
• Rauhut, Holger and Romberg, Justin, et el. (2012) Restricted isometries for partial random circulant matrices; Applied and Computational Harmonic Analysis; Vol. 32; No. 2; 242-254; 10.1016/j.acha.2011.05.001
• Tropp, Joel A. (2011) Freedman's inequality for matrix martingales; Electronic Communications in Probability; Vol. 16; 262-270; 10.1214/ECP.v16-1624
• Tropp, Joel A. (2011) Freedman's Inequality for Matrix Martingales; Electronic Communications in Probability; Vol. 16; No. 25; 262-270; 10.1214/ECP.v16-1624
• Tropp, Joel A. (2011) Improved analysis of the subsampled randomized Hadamard transform; Advances in Adaptive Data Analysis; Vol. 3; No. 1-2; 115-126; 10.1142/S1793536911000787
• Halko, N. and Martinsson, P. G., et el. (2011) Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions; SIAM Review; Vol. 53; No. 2; 217-288; 10.1137/090771806
• McCoy, Michael and Tropp, Joel A. (2011) Two proposals for robust PCA using semidefinite programming; Electronic Journal of Statistics; Vol. 5; 1123-1160; 10.1214/11-EJS636
• Tropp, Joel A. (2011) Improved Analysis of the Subsamples Randomized Hadamard Transform; Advances in Adaptive Data Analysis; Vol. 3; No. 1-2; 115-126; 10.1142/S1793536911000787
• Needell, Deanna and Tropp, Joel A. (2010) CoSaMP: iterative signal recovery from incomplete and inaccurate samples; Communications of the ACM; Vol. 53; No. 12; 93-100; 10.1145/1859204.1859229
• Tropp, Joel A. and Wright, Stephen J. (2010) Computational Methods for Sparse Solution of Linear Inverse Problems; Proceedings of the IEEE; Vol. 98; No. 6; 948-958; 10.1109/JPROC.2010.2044010
• Tropp, Joel A. and Laska, Jason N., et el. (2010) Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals; IEEE Transactions on Information Theory; Vol. 56; No. 1; 520-544; 10.1109/TIT.2009.2034811
• Needell, D. and Tropp, J. A. (2009) CoSaMP: Iterative signal recovery from incomplete and inaccurate samples; Applied and Computational Harmonic Analysis; Vol. 26; No. 3; 301-321; 10.1016/j.acha.2008.07.002
• Tropp, Joel A. (2008) Norms of random submatrices and sparse approximation; Comptes Rendus Mathematique; Vol. 346; No. 23-24; 1271-1274; 10.1016/j.crma.2008.10.008
• Tropp, Joel A. (2008) On the Linear Independence of Spikes and Sines; Journal of Fourier Analysis and Applications; Vol. 14; No. 5-6; 838-858; 10.1007/s00041-008-9042-0
• Brickell, Justin and Dhillon, Inderjit S., et el. (2008) The Metric Nearness Problem; SIAM Journal on Matrix Analysis and Applications; Vol. 30; No. 1; 375-396; 10.1137/060653391
• Gilnert, Anna C. and Strauss, Martin J., et el. (2008) A Tutorial on Fast Fourier Sampling [How to apply it to problems]; IEEE Signal Processing Magazine; Vol. 25; No. 2; 57-66; 10.1109/MSP.2007.915000
• Dhillon, I. S. and Heath, R. W., Jr., et el. (2008) Constructing Packings in Grassmannian Manifolds via Alternating Projection; Experimental Mathematics; Vol. 17; No. 1; 9-35; 10.1080/10586458.2008.10129018
• Tropp, Joel A. (2008) The random paving property for uniformly bounded matrices; Studia Mathematica; Vol. 185; No. 1; 67-82; 10.4064/sm185-1-4
• Tropp, Joel A. and Gilbert, Anna C. (2007) Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit; IEEE Transactions on Information Theory; Vol. 53; No. 12; 4655-4666; 10.1109/TIT.2007.909108
• Dhillon, Inderjit S. and Tropp, Joel A. (2007) Matrix Nearness Problems with Bregman Divergences; SIAM Journal on Matrix Analysis and Applications; Vol. 29; No. 4; 1120-1146; 10.1137/060649021
• Tropp, Joel A. (2006) Just relax: convex programming methods for identifying sparse signals in noise; IEEE Transactions on Information Theory; Vol. 52; No. 3; 1030-1051; 10.1109/TIT.2005.864420
• Dhillon, Inderjit S. and Heath, Robert W., Jr., et el. (2005) Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum; SIAM Journal on Matrix Analysis and Applications; Vol. 27; No. 1; 61-71; 10.1137/S0895479803438183
• Tropp, Joel A. (2005) Recovery of short, complex linear combinations via ℓ1 minimization; IEEE Transactions on Information Theory; Vol. 2005; No. 4; 1568-1570; 10.1109/TIT.2005.844057
• Tropp, Joel A. and Dhillon, Inderjit S., et el. (2005) Designing structured tight frames via an alternating projection method; IEEE Transactions on Information Theory; Vol. 51; No. 1; 188-209; 10.1109/TIT.2004.839492
• Tropp, Joel A. and Dhillon, Inderjit S., et el. (2004) Finite-step algorithms for constructing optimal CDMA signature sequences; IEEE Transactions on Information Theory; Vol. 50; No. 11; 2916-2921; 10.1109/TIT.2004.836698
• Tropp, Joel A. (2004) Greed is good: algorithmic results for sparse approximation; IEEE Transactions on Information Theory; Vol. 50; No. 10; 2231-2242; 10.1109/TIT.2004.834793