Ehsan Abbasi
Ehsan Abbasi
Ph.D. Student, Electrical Eng. Department, Caltech
Verified email at caltech.edu
Title
Cited by
Cited by
Year
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
1202018
The lasso with non-linear measurements is equivalent to one with linear measurements
C Thrampoulidis, E Abbasi, B Hassibi
arXiv preprint arXiv:1506.02181, 2015
932015
The impact of regularization on high-dimensional logistic regression
F Salehi, E Abbasi, B Hassibi
arXiv preprint arXiv:1906.03761, 2019
422019
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
262016
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
222018
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
142019
Learning without the phase: Regularized phasemax achieves optimal sample complexity
F Salehi, E Abbasi, B Hassibi
Neural Information Processing Systems, 2018
142018
Universality in learning from linear measurements
E Abbasi, F Salehi, B Hassibi
arXiv preprint arXiv:1906.08396, 2019
122019
General performance metrics for the lasso
E Abbasi, C Thrampoulidis, B Hassibi
2016 IEEE Information Theory Workshop (ITW), 181-185, 2016
102016
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
82015
The performance analysis of generalized margin maximizers on separable data
F Salehi, E Abbasi, B Hassibi
International Conference on Machine Learning, 8417-8426, 2020
42020
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
22020
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
22019
Universality Laws and Performance Analysis of the Generalized Linear Models
E Abbasi
California Institute of Technology, 2020
2020
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