Compressed sensing off the grid G Tang, BN Bhaskar, P Shah, B Recht IEEE transactions on information theory 59 (11), 7465-7490, 2013 | 1287 | 2013 |
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 | 668 | 2013 |
Near minimax line spectral estimation G Tang, BN Bhaskar, B Recht IEEE Transactions on Information Theory 61 (1), 499-512, 2014 | 225 | 2014 |
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 | 129 | 2012 |
Sparse recovery over continuous dictionaries-just discretize G Tang, BN Bhaskar, B Recht 2013 Asilomar Conference on Signals, Systems and Computers, 1043-1047, 2013 | 100 | 2013 |
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 | 72 | 2015 |
Sketching sparse matrices G Dasarathy, P Shah, BN Bhaskar, R Nowak arXiv preprint arXiv:1303.6544, 2013 | 25 | 2013 |
Robust Line Spectral Estimation G Tang, P Shah, BN Bhaskar, B Recht 48th Asilomar Conference on Signals, Systems and Computers, 2014 | 20 | 2014 |
Covariance sketching G Dasarathy, P Shah, BN Bhaskar, R Nowak 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012 | 12 | 2012 |
``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 | 12 | 2007 |
Multipath-cluster channel models JA Gubner, BN Bhaskar, K Hao 2012 IEEE International Conference on Ultra-Wideband, 292-296, 2012 | 8 | 2012 |
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 | 7 | 2016 |
R Code for RxC Ecological Inference J Wittenberg, BN Bhaskar Version December 1, 2005 | 6 | 2005 |
Anticipating Concept Drift in Online Learning M Derezinski, BN Bhaskar Learning Faster from Easy Data, Advances of Neural Information Processing …, 2015 | 2 | 2015 |
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 | | |
Sketching Sparse Covariance Matrices and Graphs G Dasarathy, P Shah, BN Bhaskar, R Nowak | | |