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Ramtin Pedarsani

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Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model

Apr 05, 2021
Payam Delgosha, Hamed Hassani, Ramtin Pedarsani

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Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity

Dec 28, 2020
Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani

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Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic

Dec 28, 2020
Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani

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Adversarially Robust Classification based on GLRT

Nov 16, 2020
Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani

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Asymptotic Behavior of Adversarial Training in Binary Classification

Oct 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

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Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions

Jul 05, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

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Robust Federated Learning: The Case of Affine Distribution Shifts

Jun 16, 2020
Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie

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Sharp Asymptotics and Optimal Performance for Inference in Binary Models

Feb 26, 2020
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

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Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs

Feb 25, 2020
Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani

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