Ehsan Abbasi
Ehsan Abbasi
Ph.D. Student, Electrical Eng. Department, Caltech
Verified email at caltech.edu
Title
Cited by
Cited by
Year
Lasso with non-linear measurements is equivalent to one with linear measurements
C Thrampoulidis, E Abbasi, B Hassibi
Advances in Neural Information Processing Systems, 3420-3428, 2015
872015
Precise Error Analysis of Regularized-Estimators in High Dimensions
C Thrampoulidis, E Abbasi, B Hassibi
IEEE Transactions on Information Theory 64 (8), 5592-5628, 2018
842018
BER analysis of the box relaxation for BPSK signal recovery
C Thrampoulidis, E Abbasi, W Xu, B Hassibi
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
252016
The impact of regularization on high-dimensional logistic regression
F Salehi, E Abbasi, B Hassibi
Advances in Neural Information Processing Systems, 12005-12015, 2019
232019
A precise analysis of phasemax in phase retrieval
F Salehi, E Abbasi, B Hassibi
2018 IEEE International Symposium on Information Theory (ISIT), 976-980, 2018
162018
Performance analysis of convex data detection in mimo
E Abbasi, F Salehi, B Hassibi
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
102019
Learning without the phase: Regularized phasemax achieves optimal sample complexity
F Salehi, E Abbasi, B Hassibi
Advances in Neural Information Processing Systems, 8641-8652, 2018
92018
General performance metrics for the lasso
E Abbasi, C Thrampoulidis, B Hassibi
2016 IEEE Information Theory Workshop (ITW), 181-185, 2016
82016
Universality in learning from linear measurements
E Abbasi, F Salehi, B Hassibi
Advances in Neural Information Processing Systems, 12372-12382, 2019
62019
Precise high-dimensional error analysis of regularized m-estimators
C Thrampoulidis, E Abbasi, B Hassibi
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
62015
Performance of real phase retrieval
E Abbasi, F Salehi, B Hassibi
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
32017
The performance analysis of generalized margin maximizer (gmm) on separable data
F Salehi, E Abbasi, B Hassibi
arXiv preprint arXiv:2010.15379, 2020
12020
Sparse Covariance Estimation from Quadratic Measurements: A Precise Analysis
E Abbasi, F Salehi, B Hassibi
2019 IEEE International Symposium on Information Theory (ISIT), 2074-2078, 2019
12019
Universality Laws and Performance Analysis of the Generalized Linear Models
E Abbasi
California Institute of Technology, 2020
2020
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