90 citations · 146 across the 6 of their papers we have counts for
7 papers
The Performance Analysis of Generalized Margin Maximizer (GMM) on Separable Data
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Logistic models are commonly used for binary classification tasks. The success of such models has often been attributed to their connection to maximum-likelihood estimators. It has…
Universality in Learning from Linear Measurements
Ehsan Abbasi, Fariborz Salehi, Babak Hassibi
We study the problem of recovering a structured signal from independently and identically drawn linear measurements. A convex penalty function is considered which penali…
The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Logistic regression is commonly used for modeling dichotomous outcomes. In the classical setting, where the number of observations is much larger than the number of parameters, pro…
A Precise Analysis of PhaseMax in Phase Retrieval
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Recovering an unknown complex signal from the magnitude of linear combinations of the signal is referred to as phase retrieval. We present an exact performance analysis of a recent…
Precise Error Analysis of Regularized M-estimators in High-dimensions
Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi
A popular approach for estimating an unknown signal from noisy, linear measurements is via solving a so called \emph{regularized M-estimator}, which minimizes a weighted combinatio…
BER Analysis of the box relaxation for BPSK Signal Recovery
Christos Thrampoulidis, Ehsan Abbasi, Weiyu Xu +1
We study the problem of recovering an -dimensional vector of (BPSK) signals from noise corrupted measurements . In…