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Farzan Farnia

Group-Structured Adversarial Training


Jun 18, 2021
Farzan Farnia, Amirali Aghazadeh, James Zou, David Tse

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A Wasserstein Minimax Framework for Mixed Linear Regression


Jun 16, 2021
Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman Ozdaglar

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* To appear in 38th International Conference on Machine Learning (ICML 2021) 
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Train simultaneously, generalize better: Stability of gradient-based minimax learners


Oct 23, 2020
Farzan Farnia, Asuman Ozdaglar

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GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models


Jun 18, 2020
Farzan Farnia, William Wang, Subhro Das, Ali Jadbabaie

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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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GANs May Have No Nash Equilibria


Feb 21, 2020
Farzan Farnia, Asuman Ozdaglar

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Generalizable Adversarial Training via Spectral Normalization


Nov 19, 2018
Farzan Farnia, Jesse M. Zhang, David Tse

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A Convex Duality Framework for GANs


Oct 28, 2018
Farzan Farnia, David Tse

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Understanding GANs: the LQG Setting


Oct 22, 2018
Soheil Feizi, Farzan Farnia, Tony Ginart, David Tse

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A Minimax Approach to Supervised Learning


Jul 04, 2017
Farzan Farnia, David Tse

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Discrete Rényi Classifiers


Nov 05, 2015
Meisam Razaviyayn, Farzan Farnia, David Tse


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