Joel A. Tropp - RankMe

106 papers A* 3A 1B 1Misc 2Journal 88Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparison theorems for the extreme eigenvalues of a random symmetric matrix. CoRR Joel A. Tropp
2026	J	`jnl`	Successive randomized compression: A randomized algorithm for the compressed MPO-MPS product. Quantum Chris Camaño, Ethan N. Epperly, Joel A. Tropp
2025	J	`jnl`	Comparison theorems for the minimum eigenvalue of a random positive-semidefinite matrix. CoRR Joel A. Tropp
2025	J	`jnl`	Embrace Rejection: Kernel Matrix Approximation by Accelerated Randomly Pivoted Cholesky. SIAM J. Matrix Anal. Appl. Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
2025	J	`jnl`	Faster Linear Algebra Algorithms with Structured Random Matrices. CoRR Chris Camaño, Ethan N. Epperly, Raphael A. Meyer, Joel A. Tropp
2025	J	`jnl`	Successive randomized compression: A randomized algorithm for the compressed MPO-MPS product. CoRR Chris Camaño, Ethan N. Epperly, Joel A. Tropp
2024	J	`jnl`	Efficient Error and Variance Estimation for Randomized Matrix Computations. SIAM J. Sci. Comput. Ethan N. Epperly, Joel A. Tropp
2024	J	`jnl`	Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky. CoRR Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
2024	J	`jnl`	Fast and Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems. SIAM J. Matrix Anal. Appl. Yuji Nakatsukasa, Joel A. Tropp
2024	J	`jnl`	Randomized matrix computations: Themes and variations. CoRR Anastasia Kireeva, Joel A. Tropp
2024	J	`jnl`	XTrace: Making the Most of Every Sample in Stochastic Trace Estimation. SIAM J. Matrix Anal. Appl. Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
2023	J	`jnl`	Learning to Forecast Dynamical Systems from Streaming Data. SIAM J. Appl. Dyn. Syst. Dimitrios Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel A. Ward
2023	J	`jnl`	Randomized Nyström Preconditioning. SIAM J. Matrix Anal. Appl. Zachary Frangella, Joel A. Tropp, Madeleine Udell
2023	J	`jnl`	Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications. CoRR Joel A. Tropp, Robert J. Webber
2023	J	`jnl`	Robust, randomized preconditioning for kernel ridge regression. CoRR Mateo Díaz, Ethan N. Epperly, Zachary Frangella, Joel A. Tropp, Robert J. Webber
2023	J	`jnl`	XTrace: Making the most of every sample in stochastic trace estimation. CoRR Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
2022	J	`jnl`	Jackknife Variability Estimation For Randomized Matrix Computations. CoRR Ethan N. Epperly, Joel A. Tropp
2022	J	`jnl`	Matrix Concentration for Products. Found. Comput. Math. De Huang, Jonathan Niles-Weed, Joel A. Tropp, Rachel A. Ward
2022	J	`jnl`	Randomized block Krylov methods for approximating extreme eigenvalues. Numerische Mathematik Joel A. Tropp
2022	J	`jnl`	Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations. CoRR Yifan Chen, Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
2021	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity. SIAM J. Optim. Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2021	J	`jnl`	Binary Component Decomposition Part I: The Positive-Semidefinite Case. SIAM J. Math. Data Sci. Richard Kueng, Joel A. Tropp
2021	J	`jnl`	Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems. CoRR Yuji Nakatsukasa, Joel A. Tropp
2021	A*	`conf`	Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements. ICCV Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman
2021	J	`jnl`	Learning to Forecast Dynamical Systems from Streaming Data. CoRR Dimitris Giannakis, Amelia Henriksen, Joel A. Tropp, Rachel A. Ward
2021	J	`jnl`	Randomized Nyström Preconditioning. CoRR Zachary Frangella, Joel A. Tropp, Madeleine Udell
2021	J	`jnl`	Randomized block Krylov methods for approximating extreme eigenvalues. CoRR Joel A. Tropp
2021	J	`jnl`	Scalable Semidefinite Programming. SIAM J. Math. Data Sci. Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
2021	J	`jnl`	Tensor Random Projection for Low Memory Dimension Reduction. CoRR Yiming Sun, Yang Guo, Joel A. Tropp, Madeleine Udell
2020	J	`jnl`	Low-Rank Tucker Approximation of a Tensor from Streaming Data. SIAM J. Math. Data Sci. Yiming Sun, Yang Guo, Charlene Luo, Joel A. Tropp, Madeleine Udell
2020	J	`jnl`	Randomized Numerical Linear Algebra: Foundations & Algorithms. CoRR Per-Gunnar Martinsson, Joel A. Tropp
2020	J	`jnl`	Randomized numerical linear algebra: Foundations and algorithms. Acta Numer. Per-Gunnar Martinsson, Joel A. Tropp
2019	J	`jnl`	An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity. CoRR Lijun Ding, Alp Yurtsever, Volkan Cevher, Joel A. Tropp, Madeleine Udell
2019	J	`jnl`	Binary Component Decomposition Part I: The Positive-Semidefinite Case. CoRR Richard Kueng, Joel A. Tropp
2019	J	`jnl`	Binary component decomposition Part II: The asymmetric case. CoRR Richard Kueng, Joel A. Tropp
2019	J	`jnl`	Low-Rank Tucker Approximation of a Tensor From Streaming Data. CoRR Yiming Sun, Yang Guo, Charlene Luo, Joel A. Tropp, Madeleine Udell
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2019	J	`jnl`	Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation. SIAM J. Sci. Comput. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2018	J	`jnl`	Concentration of the Intrinsic Volumes of a Convex Body. CoRR Martin Lotz, Michael B. McCoy, Ivan Nourdin, Giovanni Peccati, Joel A. Tropp
2018	J	`jnl`	Fast state tomography with optimal error bounds. CoRR Madalin Guta, Jonas Kahn, Richard Kueng, Joel A. Tropp
2018	J	`jnl`	Simplicial Faces of the Set of Correlation Matrices. Discret. Comput. Geom. Joel A. Tropp
2017	—	`conf`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. NIPS Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	J	`jnl`	Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	J	`jnl`	Practical Sketching Algorithms for Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2017	A	`conf`	Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage. AISTATS Alp Yurtsever, Madeleine Udell, Joel A. Tropp, Volkan Cevher
2016	J	`jnl`	Randomized single-view algorithms for low-rank matrix approximation. CoRR Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
2015	J	`jnl`	An Introduction to Matrix Concentration Inequalities. CoRR Joel A. Tropp
2015	J	`jnl`	An Introduction to Matrix Concentration Inequalities. Found. Trends Mach. Learn. Joel A. Tropp
2015	J	`jnl`	Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost. IEEE J. Sel. Top. Signal Process. John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker
2015	J	`jnl`	Integer Factorization of a Positive-Definite Matrix. SIAM J. Discret. Math. Joel A. Tropp
2015	J	`jnl`	Robust Computation of Linear Models by Convex Relaxation. Found. Comput. Math. Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
2015	J	`jnl`	Universality laws for randomized dimension reduction, with applications. CoRR Samet Oymak, Joel A. Tropp
2014	J	`jnl`	Convex recovery of a structured signal from independent random linear measurements. CoRR Joel A. Tropp
2014	J	`jnl`	From Steiner Formulas for Cones to Concentration of Intrinsic Volumes. Discret. Comput. Geom. Michael B. McCoy, Joel A. Tropp
2014	J	`jnl`	Sharp Recovery Bounds for Convex Demixing, with Applications. Found. Comput. Math. Michael B. McCoy, Joel A. Tropp
2014	—	`conf`	Time-Data Tradeoffs by Aggressive Smoothing. NIPS John J. Bruer, Joel A. Tropp, Volkan Cevher, Stephen Becker
2013	J	`jnl`	Living on the edge: A geometric theory of phase transitions in convex optimization CoRR Dennis Amelunxen, Martin Lotz, Michael B. McCoy, Joel A. Tropp
2013	J	`jnl`	Subadditivity of Matrix phi-Entropy and Concentration of Random Matrices. CoRR Joel A. Tropp, Richard Y. Chen
2013	J	`jnl`	The achievable performance of convex demixing. CoRR Michael B. McCoy, Joel A. Tropp
2012	J	`jnl`	Factoring nonnegative matrices with linear programs CoRR Victor Bittorf, Benjamin Recht, Christopher Ré, Joel A. Tropp
2012	—	`conf`	Factoring nonnegative matrices with linear programs. NIPS Ben Recht, Christopher Ré, Joel A. Tropp, Victor Bittorf
2012	J	`jnl`	Paved with Good Intentions: Analysis of a Randomized Block Kaczmarz Method CoRR Deanna Needell, Joel A. Tropp
2012	J	`jnl`	Robust computation of linear models, or How to find a needle in a haystack CoRR Gilad Lerman, Michael B. McCoy, Joel A. Tropp, Teng Zhang
2012	J	`jnl`	Sharp recovery bounds for convex deconvolution, with applications CoRR Michael B. McCoy, Joel A. Tropp
2012	J	`jnl`	User-Friendly Tail Bounds for Sums of Random Matrices. Found. Comput. Math. Joel A. Tropp
2011	J	`jnl`	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions. SIAM Rev. Nathan Halko, Per-Gunnar Martinsson, Joel A. Tropp
2011	J	`jnl`	From joint convexity of quantum relative entropy to a concavity theorem of Lieb CoRR Joel A. Tropp
2011	J	`jnl`	Improved Analysis of the subsampled Randomized Hadamard Transform. Adv. Data Sci. Adapt. Anal. Joel A. Tropp
2011	J	`jnl`	The restricted isometry property for time-frequency structured random matrices CoRR Götz E. Pfander, Holger Rauhut, Joel A. Tropp
2010	J	`jnl`	Beyond Nyquist: efficient sampling of sparse bandlimited signals. IEEE Trans. Inf. Theory Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, Richard G. Baraniuk
2010	J	`jnl`	CoSaMP: iterative signal recovery from incomplete and inaccurate samples. Commun. ACM Deanna Needell, Joel A. Tropp
2010	J	`jnl`	Computational Methods for Sparse Solution of Linear Inverse Problems. Proc. IEEE Joel A. Tropp, Stephen J. Wright
2010	J	`jnl`	Improved analysis of the subsampled randomized Hadamard transform CoRR Joel A. Tropp
2010	—	`conf`	Practical Large-Scale Optimization for Max-norm Regularization. NIPS Jason D. Lee, Ben Recht, Ruslan Salakhutdinov, Nathan Srebro, Joel A. Tropp
2010	J	`jnl`	Restricted Isometries for Partial Random Circulant Matrices CoRR Holger Rauhut, Justin K. Romberg, Joel A. Tropp
2010	J	`jnl`	The Sparsity Gap: Uncertainty Principles Proportional to Dimension CoRR Joel A. Tropp
2010	Misc	`conf`	The sparsity gap: Uncertainty principles proportional to dimension. CISS Joel A. Tropp
2009	J	`jnl`	Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals CoRR Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, Richard G. Baraniuk
2009	A*	`conf`	Column subset selection, matrix factorization, and eigenvalue optimization. SODA Joel A. Tropp
2009	J	`jnl`	Efficient Sampling of Sparse Wideband Analog Signals CoRR Moshe Mishali, Yonina C. Eldar, Joel A. Tropp
2008	J	`jnl`	A Tutorial on Fast Fourier Sampling. IEEE Signal Process. Mag. Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp
2008	J	`jnl`	CoSaMP: Iterative signal recovery from incomplete and inaccurate samples CoRR Joel A. Tropp, Deanna Needell
2008	J	`jnl`	Constructing Packings in Grassmannian Manifolds via Alternating Projection. Exp. Math. Inderjit S. Dhillon, Robert W. Heath Jr., Thomas Strohmer, Joel A. Tropp
2008	J	`jnl`	Greedy Signal Recovery Review CoRR Deanna Needell, Joel A. Tropp, Roman Vershynin
2008	—	`conf`	Greedy signal recovery review. ACSCC Deanna Needell, Joel A. Tropp, Roman Vershynin
2008	J	`jnl`	The Metric Nearness Problem. SIAM J. Matrix Anal. Appl. Justin Brickell, Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
2007	J	`jnl`	Matrix Nearness Problems with Bregman Divergences. SIAM J. Matrix Anal. Appl. Inderjit S. Dhillon, Joel A. Tropp
2007	A*	`conf`	One sketch for all: fast algorithms for compressed sensing. STOC Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp, Roman Vershynin
2007	J	`jnl`	Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory Joel A. Tropp, Anna C. Gilbert
2006	J	`jnl`	Algorithmic linear dimension reduction in the l_1 norm for sparse vectors CoRR Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp, Roman Vershynin
2006	J	`jnl`	Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit. Signal Process. Joel A. Tropp, Anna C. Gilbert, Martin J. Strauss
2006	J	`jnl`	Algorithms for simultaneous sparse approximation. Part II: Convex relaxation. Signal Process. Joel A. Tropp
2006	J	`jnl`	Just relax: convex programming methods for identifying sparse signals in noise. IEEE Trans. Inf. Theory Joel A. Tropp
2006	—	`conf`	Random Filters for Compressive Sampling and Reconstruction. ICASSP (3) Joel A. Tropp, Michael B. Wakin, Marco F. Duarte, Dror Baron, Richard G. Baraniuk
2006	Misc	`conf`	Random Filters for Compressive Sampling. CISS Joel A. Tropp
2006	—	`conf`	Row-Action Methods for Compressed Sensing. ICASSP (3) Suvrit Sra, Joel A. Tropp
2006	—	`conf`	Sparse Approximation Via Iterative Thresholding. ICASSP (3) Kyle Herrity, Anna C. Gilbert, Joel A. Tropp
2005	B	`conf`	Applications of sparse approximation in communications. ISIT Anna C. Gilbert, Joel A. Tropp
2005	J	`jnl`	Designing structured tight frames via an alternating projection method. IEEE Trans. Inf. Theory Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr., Thomas Strohmer
2005	J	`jnl`	Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum. SIAM J. Matrix Anal. Appl. Inderjit S. Dhillon, Robert W. Heath Jr., Mátyás A. Sustik, Joel A. Tropp
2005	J	`jnl`	Recovery of short, complex linear combinations via 𝓁 IEEE Trans. Inf. Theory Joel A. Tropp
2005	—	`conf`	Simultaneous sparse approximation via greedy pursuit. ICASSP (5) Joel A. Tropp, Anna C. Gilbert, Martin J. Strauss
2004	J	`jnl`	Finite-Step Algorithms for Constructing Optimal CDMA Signature Sequences. IEEE Trans. Inf. Theory Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr.
2004	J	`jnl`	Greed is good: algorithmic results for sparse approximation. IEEE Trans. Inf. Theory Joel A. Tropp
2004	—	`conf`	Triangle Fixing Algorithms for the Metric Nearness Problem. NIPS Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
2003	—	`conf`	Improved sparse approximation over quasiincoherent dictionaries. ICIP (1) Joel A. Tropp, Anna C. Gilbert, S. Muthukrishnan, Martin Strauss