Author of the publication

(Near) Dimension Independent Risk Bounds for Differentially Private Learning.

, and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 476-484. JMLR.org, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation., , , , , and . ICML, OpenReview.net, (2024)Why Is Public Pretraining Necessary for Private Model Training?, , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 10611-10627. PMLR, (2023)Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements., , , and . ICML, OpenReview.net, (2024)Private Stochastic Convex Optimization with Optimal Rates., , , and . NeurIPS, page 11279-11288. (2019)Privacy Amplification for Matrix Mechanisms., , , and . ICLR, OpenReview.net, (2024)Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams., , , , and . NeurIPS, (2022)Differentially Private Model Personalization., , , , and . NeurIPS, page 29723-29735. (2021)(Near) Dimension Independent Risk Bounds for Differentially Private Learning., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 476-484. JMLR.org, (2014)Privacy-preserving Data Mining in Industry., , and . WSDM, page 840-841. ACM, (2019)Multi-Task Differential Privacy Under Distribution Skew., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17784-17807. PMLR, (2023)