
Asymptotic Behavior of Adversarial Training in Binary Classification
It is widely known that several machine learning models are susceptible ...
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Fundamental Limits of RidgeRegularized Empirical Risk Minimization in High Dimensions
Empirical Risk Minimization (ERM) algorithms are widely used in a variet...
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Quantized Pushsum for Gossip and Decentralized Optimization over Directed Graphs
We consider a decentralized stochastic learning problem where data point...
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Sharp Asymptotics and Optimal Performance for Inference in Binary Models
We study convex empirical risk minimization for highdimensional inferen...
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Sharp Guarantees for Solving Random Equations with OneBit Information
We study the performance of a wide class of convex optimizationbased es...
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Robust and CommunicationEfficient Collaborative Learning
We consider a decentralized learning problem, where a set of computing n...
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Hossein Taheri
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