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Adapting to Function Difficulty and Growth Conditions in Private Optimization


Aug 05, 2021
Hilal Asi, Daniel Levy, John Duchi

* 28 pages 

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Private Adaptive Gradient Methods for Convex Optimization


Jun 25, 2021
Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar

* To appear in 38th International Conference on Machine Learning (ICML 2021) 

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Stochastic Bias-Reduced Gradient Methods


Jun 17, 2021
Hilal Asi, Yair Carmon, Arun Jambulapati, Yujia Jin, Aaron Sidford


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Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry


Mar 02, 2021
Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar


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Near Instance-Optimality in Differential Privacy


May 16, 2020
Hilal Asi, John C. Duchi


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Element Level Differential Privacy: The Right Granularity of Privacy


Dec 05, 2019
Hilal Asi, John Duchi, Omid Javidbakht

* 34 pages, 5 figures 

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The importance of better models in stochastic optimization


Mar 20, 2019
Hilal Asi, John C. Duchi


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