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Faster Rates of Convergence to Stationary Points in Differentially Private Optimization


Jun 02, 2022
Raman Arora, Raef Bassily, Tom谩s Gonz谩lez, Crist贸bal Guzm谩n, Michael Menart, Enayat Ullah


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Differentially Private Generalized Linear Models Revisited


May 06, 2022
Raman Arora, Raef Bassily, Crist贸bal Guzm谩n, Michael Menart, Enayat Ullah


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Machine Unlearning via Algorithmic Stability


Feb 25, 2021
Enayat Ullah, Tung Mai, Anup Rao, Ryan Rossi, Raman Arora


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FetchSGD: Communication-Efficient Federated Learning with Sketching


Jul 15, 2020
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora


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Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives


Feb 22, 2020
Raman Arora, Teodor V. Marinov, Enayat Ullah


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Communication-efficient distributed SGD with Sketching


Mar 12, 2019
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora

* 21 pages, 6 figures 

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Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration


Oct 08, 2018
Soham De, Anirbit Mukherjee, Enayat Ullah

* Presented on 14th July 2018 at the ICML Workshop on Modern Trends in Nonconvex Optimization for Machine Learning 

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Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features


Aug 02, 2018
Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora

* 38 pages, 2 figures 

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