Menart, Michael

7 publications

ALT 2024 Differentially Private Non-Convex Optimization Under the KL Condition with Optimal Rates Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristobal Guzman

NeurIPS 2024 Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry Raef Bassily, Cristóbal Guzmán, Michael Menart

NeurIPS 2024 Public-Data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora

COLT 2023 Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap Raef Bassily, Cristóbal Guzmán, Michael Menart

ICML 2023 Faster Rates of Convergence to Stationary Points in Differentially Private Optimization Raman Arora, Raef Bassily, Tomás González, Cristóbal A Guzmán, Michael Menart, Enayat Ullah

NeurIPS 2022 Differentially Private Generalized Linear Models Revisited Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah

NeurIPS 2021 Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings Raef Bassily, Cristóbal Guzmán, Michael Menart