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Sohail Bahmani
Sohail Bahmani
Researcher
ece.gatech.edu의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Greedy Sparsity-Constrained Optimization
S Bahmani, B Raj, PT Boufounos
Journal of Machine Learning Research 14 (3), 807-841, 2013
2442013
Phase retrieval meets statistical learning theory: A flexible convex relaxation
S Bahmani, J Romberg
Artificial Intelligence and Statistics (AISTATS), International Conference …, 2017
1452017
Efficient compressive phase retrieval with constrained sensing vectors
S Bahmani, J Romberg
Advances in Neural Information Processing Systems 28, 523-531, 2015
722015
Learning Model-Based Sparsity via Projected Gradient Descent
S Bahmani, P Boufounos, B Raj
Information Theory, IEEE Transactions on 62 (4), 2092--2099, 2016
362016
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
362015
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
332013
A flexible convex relaxation for phase retrieval
S Bahmani, J Romberg
Electronic Journal of Statistics 11 (2), 5254--5281, 2017
322017
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
252016
Robust 1-bit compressive sensing via gradient support pursuit
S Bahmani, PT Boufounos, B Raj
arXiv preprint arXiv:1304.6627, 2013
232013
Solving equations of random convex functions via anchored regression
S Bahmani, J Romberg
Foundations of Computational Mathematics 19 (4), 813-841, 2019
20*2019
Compressive Deconvolution in Random Mask Imaging
S Bahmani, J Romberg
Computational Imaging, IEEE Transactions on 1 (4), 236--246, 2015
172015
Convex Programming for Estimation in Nonlinear Recurrent Models
S Bahmani, J Romberg
Journal of Machine Learning Research 21 (235), 1-20, 2020
142020
Sketching for simultaneously sparse and low-rank covariance matrices
S Bahmani, J Romberg
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 …, 2015
132015
Algorithms for Sparsity-Constrained Optimization
S Bahmani
Carnegie Mellon University, 2013
13*2013
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
72010
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
62008
Nearly optimal robust mean estimation via empirical characteristic function
S Bahmani
Bernoulli 27 (3), 2139-2158, 2021
52021
Phase retrieval of low-rank matrices by anchored regression
K Lee, S Bahmani, YC Eldar, J Romberg
Information and Inference: A Journal of the IMA 10 (1), 285-332, 2021
42021
Estimation from nonlinear observations via convex programming with application to bilinear regression
S Bahmani
Electronic Journal of Statistics 13 (1), 1978-2011, 2019
42019
Max-Linear Regression by Convex Programming
S Kim, S Bahmani, K Lee
IEEE Transactions on Information Theory, 2024
3*2024
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학술자료 1–20