Sohail Bahmani
Sohail Bahmani
Postdoctoral Fellow, School of Electrical and Computer Engineering, Georgia Tech.
Verified email at - Homepage
Cited by
Cited by
Greedy Sparsity-Constrained Optimization
S Bahmani, B Raj, PT Boufounos
Journal of Machine Learning Research 14 (3), 807-841, 2013
Phase retrieval meets statistical learning theory: A flexible convex relaxation
S Bahmani, J Romberg
Artificial Intelligence and Statistics (AISTATS), International Conference …, 2017
Efficient compressive phase retrieval with constrained sensing vectors
S Bahmani, J Romberg
Advances in Neural Information Processing Systems, 523-531, 2015
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation
S Bahmani, J Romberg
SIAM Journal on Imaging Sciences 8 (4), 2203–2238, 2015
Learning Model-Based Sparsity via Projected Gradient Descent
S Bahmani, P Boufounos, B Raj
Information Theory, IEEE Transactions on 62 (4), 2092--2099, 2016
A unifying analysis of Projected Gradient Descent for ℓp-constrained least squares
S Bahmani, B Raj
Applied and Computational Harmonic Analysis 34 (3), 366-378, 2013
Robust 1-bit compressive sensing via gradient support pursuit
S Bahmani, PT Boufounos, B Raj
arXiv preprint arXiv:1304.6627, 2013
A flexible convex relaxation for phase retrieval
S Bahmani, J Romberg
Electronic Journal of Statistics 11 (2), 5254--5281, 2017
Solving Equations of Random Convex Functions via Anchored Regression
S Bahmani, J Romberg
arXiv preprint arXiv:1702.05327, 2017
Near-optimal estimation of simultaneously sparse and low-rank matrices from nested linear measurements
S Bahmani, J Romberg
Information and Inference: A Journal of the IMA 5 (3), 331-351, 2016
Compressive Deconvolution in Random Mask Imaging
S Bahmani, J Romberg
Computational Imaging, IEEE Transactions on 1 (4), 236--246, 2015
Algorithms for Sparsity-Constrained Optimization
S Bahmani
Carnegie Mellon University, 2013
Sketching for simultaneously sparse and low-rank covariance matrices
S Bahmani, J Romberg
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 …, 2015
Joint source-chanel decoding of JPEG2000 images with unequal loss protection
S Bahmani, IV Bajic, A HajShirMohammadi
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
Convex Programming for Estimation in Nonlinear Recurrent Models
S Bahmani, J Romberg
arXiv preprint arXiv:1908.09915, 2019
Joint decoding of unequally protected JPEG2000 bitstreams and Reed-Solomon codes
S Bahmani, IV Bajic, A HajShirmohammadi
Image Processing, IEEE Transactions on 19 (10), 2693-2704, 2010
Improved joint source-channel decoding of JPEG2000 images and Reed-Solomon codes
S Bahmani, IV Bajic, A HajShirmohammadi
Proceedings of the 2009 IEEE international conference on Communications …, 2009
Estimation from nonlinear observations via convex programming with application to bilinear regression
S Bahmani
Electronic Journal of Statistics 13 (1), 1978-2011, 2019
Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization
S Bahmani, K Lee
arXiv preprint arXiv:2004.02718, 2020
Nearly Optimal Robust Mean Estimation via Empirical Characteristic Function
S Bahmani
arXiv preprint arXiv:2004.02287, 2020
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