9 citations · 15 across the 6 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…