27 citations · 42 across the 7 of their papers we have counts for
9 papers
Stochastic Mirror Descent in Average Ensemble Models
Taylan Kargin, Fariborz Salehi, Babak Hassibi
The stochastic mirror descent (SMD) algorithm is a general class of training algorithms, which includes the celebrated stochastic gradient descent (SGD), as a special case. It util…
Robustifying Binary Classification to Adversarial Perturbation
Fariborz Salehi, Babak Hassibi
Despite the enormous success of machine learning models in various applications, most of these models lack resilience to (even small) perturbations in their input data. Hence, new…
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…
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Keith Bonawitz, Fariborz Salehi, Jakub Konečný +2
Federated Learning enables mobile devices to collaboratively learn a shared inference model while keeping all the training data on a user's device, decoupling the ability to do mac…
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…
Improving Distributed Gradient Descent Using Reed-Solomon Codes
Wael Halbawi, Navid Azizan-Ruhi, Fariborz Salehi +1
Today's massively-sized datasets have made it necessary to often perform computations on them in a distributed manner. In principle, a computational task is divided into subtasks w…
Multiple Illumination Phaseless Super-Resolution (MIPS) with Applications To Phaseless DOA Estimation and Diffraction Imaging
Fariborz Salehi, Kishore Jaganathan, Babak Hassibi
Phaseless super-resolution is the problem of recovering an unknown signal from measurements of the magnitudes of the low frequency Fourier transform of the signal. This problem ari…