Deanna Needell
Deanna Needell
Professor of Mathematics, UCLA
Verifierad e-postadress på cmc.edu - Startsida
TitelCiteras avÅr
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
D Needell, JA Tropp
Applied and computational harmonic analysis 26 (3), 301-321, 2009
43332009
Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit
D Needell, R Vershynin
Foundations of computational mathematics 9 (3), 317-334, 2009
10982009
Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit
D Needell, R Vershynin
IEEE Journal of selected topics in signal processing 4 (2), 310-316, 2010
9802010
Compressed sensing with coherent and redundant dictionaries
EJ Candes, YC Eldar, D Needell, P Randall
Applied and Computational Harmonic Analysis 31 (1), 59-73, 2011
8102011
Stochastic gradient descent, weighted sampling, and the randomized kaczmarz algorithm
D Needell, R Ward, N Srebro
Advances in neural information processing systems, 1017-1025, 2014
1942014
Stable image reconstruction using total variation minimization
D Needell, R Ward
SIAM Journal on Imaging Sciences 6 (2), 1035-1058, 2013
1892013
Proving program termination
B Cook, A Podelski, A Rybalchenko
Communications of the ACM 54 (5), 88-98, 2011
170*2011
Randomized Kaczmarz solver for noisy linear systems
D Needell
BIT Numerical Mathematics 50 (2), 395-403, 2010
1532010
Paved with good intentions: analysis of a randomized block Kaczmarz method
D Needell, JA Tropp
Linear Algebra and its Applications 441, 199-221, 2014
1162014
Signal space CoSaMP for sparse recovery with redundant dictionaries
MA Davenport, D Needell, MB Wakin
IEEE Transactions on Information Theory 59 (10), 6820-6829, 2013
1072013
Greedy signal recovery review
D Needell, J Tropp, R Vershynin
2008 42nd Asilomar conference on signals, systems and computers, 1048-1050, 2008
1042008
Noisy signal recovery via iterative reweighted l1-minimization
D Needell
arXiv preprint arXiv:0904.3780, 2009
972009
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
JA Tropp, D Needell
972008
Topics in compressed sensing
D Needell
arXiv preprint arXiv:0905.4482, 2009
942009
Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm
D Needell, N Srebro, R Ward
Mathematical Programming 155 (1-2), 549-573, 2016
932016
Acceleration of randomized Kaczmarz method via the Johnson–Lindenstrauss lemma
YC Eldar, D Needell
Numerical Algorithms 58 (2), 163-177, 2011
842011
Exponential decay of reconstruction error from binary measurements of sparse signals
RG Baraniuk, S Foucart, D Needell, Y Plan, M Wootters
IEEE Transactions on Information Theory 63 (6), 3368-3385, 2017
762017
Constitutional constructions and constitutional decision rules: thoughts on the Carving of Implementation Space
MN Berman
Const. Comment. 27, 39, 2010
61*2010
Near-optimal compressed sensing guarantees for total variation minimization
D Needell, R Ward
IEEE transactions on image processing 22 (10), 3941-3949, 2013
58*2013
Convergence properties of the randomized extended Gauss--Seidel and Kaczmarz methods
A Ma, D Needell, A Ramdas
SIAM Journal on Matrix Analysis and Applications 36 (4), 1590-1604, 2015
532015
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Artiklar 1–20