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Title
Cited by
Cited by
Year
Compressed sensing off the grid
G Tang, BN Bhaskar, P Shah, B Recht
IEEE transactions on information theory 59 (11), 7465-7490, 2013
11982013
Atomic norm denoising with applications to line spectral estimation
BN Bhaskar, G Tang, B Recht
IEEE Transactions on Signal Processing 61 (23), 5987-5999, 2013
6082013
Near minimax line spectral estimation
G Tang, BN Bhaskar, B Recht
IEEE Transactions on Information Theory 61 (1), 499-512, 2014
2112014
Linear system identification via atomic norm regularization
P Shah, BN Bhaskar, G Tang, B Recht
2012 IEEE 51st IEEE conference on decision and control (CDC), 6265-6270, 2012
1252012
Sparse recovery over continuous dictionaries-just discretize
G Tang, BN Bhaskar, B Recht
2013 Asilomar Conference on Signals, Systems and Computers, 1043-1047, 2013
1002013
Sketching sparse matrices, covariances, and graphs via tensor products
G Dasarathy, P Shah, BN Bhaskar, RD Nowak
IEEE Transactions on Information Theory 61 (3), 1373-1388, 2015
672015
Sketching sparse matrices
G Dasarathy, P Shah, BN Bhaskar, R Nowak
arXiv preprint arXiv:1303.6544, 2013
232013
Robust Line Spectral Estimation
G Tang, P Shah, BN Bhaskar, B Recht
48th Asilomar Conference on Signals, Systems and Computers, 2014
202014
``ei. RxC: Hierarchical Multinomial-Dirichlet Ecological Inference Model,''
J Wittenberg, F Alimadhi, BN Bhaskar, O Lau
Kosuke Imai, Gary King, and Olivia Lau,``Zelig: Everyone's Statistical …, 2007
112007
Covariance sketching
G Dasarathy, P Shah, BN Bhaskar, R Nowak
2012 50th Annual Allerton Conference on Communication, Control, and …, 2012
102012
Multipath-cluster channel models
JA Gubner, BN Bhaskar, K Hao
2012 IEEE International Conference on Ultra-Wideband, 292-296, 2012
82012
Geometry aware mappings for high dimensional sparse factors
A Bhowmik, N Liu, E Zhong, B Bhaskar, S Rajan
Artificial Intelligence and Statistics, 455-463, 2016
72016
R Code for RxC Ecological Inference
J Wittenberg, BN Bhaskar
Version December 1, 2005
62005
Anticipating Concept Drift in Online Learning
M Derezinski, BN Bhaskar
Learning Faster from Easy Data, Advances of Neural Information Processing …, 2015
22015
Information Fusion from the Point of View of Communication Theory
JA Gubner, LL Scharf, EK Chong, P Fonseca, JB Benedito Jr, J Bunnag, ...
2013
Denoising and decomposition of moment sequences using convex optimization
BN Bhaskar, B Recht
University of Wisconsin at Madison, 2013
2013
Atomic Norm Denoising
BN Bhaskar, G Tang, B Recht
MINDS@UW Technical Report, 2012
2012
Vandermonde Decomposition of the Prony Hankel Matrix
BN Bhaskar
2010
Preprocessing Affymetrix Data
BN Bhaskar
2003
Geometry Aware Mappings for High Dimensional Sparse Factors Supplementary Material
A Bhowmik, N Liu, E Zhong, BN Bhaskar, S Rajan
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Articles 1–20