34 citations · 76 across the 12 of their papers we have counts for
4 papers · 1 filter
Asymptotic Behavior of Adversarial Training in Binary Classification
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
It has been consistently reported that many machine learning models are susceptible to adversarial attacks i.e., small additive adversarial perturbations applied to data points can…
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Empirical Risk Minimization (ERM) algorithms are widely used in a variety of estimation and prediction tasks in signal-processing and machine learning applications. Despite their p…
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
We study convex empirical risk minimization for high-dimensional inference in binary models. Our first result sharply predicts the statistical performance of such estimators in the…
Quantized Decentralized Stochastic Learning over Directed Graphs
Hossein Taheri, Aryan Mokhtari, Hamed Hassani +1
We consider a decentralized stochastic learning problem where data points are distributed among computing nodes communicating over a directed graph. As the model size gets large, d…