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Generalized Frank-Wolfe Algorithm for Bilevel Optimization


Jun 17, 2022
Ruichen Jiang , Nazanin Abolfazli , Aryan Mokhtari , Erfan Yazdandoost Hamedani

* 24 pages, 4 figures 

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Straggler-Resilient Personalized Federated Learning


Jun 05, 2022
Isidoros Tziotis , Zebang Shen , Ramtin Pedarsani , Hamed Hassani , Aryan Mokhtari


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FedAvg with Fine Tuning: Local Updates Lead to Representation Learning


May 27, 2022
Liam Collins , Hamed Hassani , Aryan Mokhtari , Sanjay Shakkottai


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Generalized Optimistic Methods for Convex-Concave Saddle Point Problems


Feb 19, 2022
Ruichen Jiang , Aryan Mokhtari

* 71 pages, 4 figures 

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The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance


Feb 11, 2022
Matthew Faw , Isidoros Tziotis , Constantine Caramanis , Aryan Mokhtari , Sanjay Shakkottai , Rachel Ward


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MAML and ANIL Provably Learn Representations


Feb 07, 2022
Liam Collins , Aryan Mokhtari , Sewoong Oh , Sanjay Shakkottai


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Minimax Optimization: The Case of Convex-Submodular


Nov 01, 2021
Arman Adibi , Aryan Mokhtari , Hamed Hassani


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Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach


Jun 10, 2021
Qiujiang Jin , Aryan Mokhtari


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Exploiting Shared Representations for Personalized Federated Learning


Feb 14, 2021
Liam Collins , Hamed Hassani , Aryan Mokhtari , Sanjay Shakkottai


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Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks


Feb 07, 2021
Alireza Fallah , Aryan Mokhtari , Asuman Ozdaglar


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