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A Fast Algorithm for Adaptive Private Mean Estimation


Jan 17, 2023
John Duchi, Saminul Haque, Rohith Kuditipudi

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* 38 pages, no figures 

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Private optimization in the interpolation regime: faster rates and hardness results


Oct 31, 2022
Hilal Asi, Karan Chadha, Gary Cheng, John Duchi

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* published at ICML 2022; 25 pages 

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Subspace Recovery from Heterogeneous Data with Non-isotropic Noise


Oct 24, 2022
John Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar

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* In NeurIPS 2022 

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How many labelers do you have? A closer look at gold-standard labels


Jun 24, 2022
Chen Cheng, Hilal Asi, John Duchi

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* 51 pages, 4 figures 

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Query-Adaptive Predictive Inference with Partial Labels


Jun 15, 2022
Maxime Cauchois, John Duchi

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Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression


Feb 20, 2022
Chen Cheng, John Duchi, Rohith Kuditipudi

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* 31 pages 

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Predictive Inference with Weak Supervision


Feb 09, 2022
Maxime Cauchois, Suyash Gupta, Alnur Ali, John Duchi

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Fine-tuning is Fine in Federated Learning


Aug 16, 2021
Gary Cheng, Karan Chadha, John Duchi

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* 40 pages (10 main pages, 30 appendix pages), 13 figures 

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Adapting to Function Difficulty and Growth Conditions in Private Optimization


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

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* 28 pages 

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