Michael Menart

According to our database, Michael Menart authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Public-data Assisted Private Stochastic Optimization: Power and Limitations.

Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora

CoRR, 2024

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates.

Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.

Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the International Conference on Machine Learning, 2023

Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap.

Raef Bassily, Cristóbal Guzmán, Michael Menart

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Differentially Private Generalized Linear Models Revisited.

Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings.

Raef Bassily, Cristóbal Guzmán, Michael Menart

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021