Michael Menart

16 papers A* 6B 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Gradient Complexity of Private Optimization with Private Oracles. CoRR Michael Menart, Aleksandar Nikolov
2025	J	`jnl`	Private Rate-Constrained Optimization with Applications to Fair Learning. CoRR Mohammad Yaghini, Tudor Cebere, Michael Menart, Aurélien Bellet, Nicolas Papernot
2024	B	`conf`	Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. ALT Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
2024	A*	`conf`	Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry. NeurIPS Raef Bassily, Cristóbal Guzmán, Michael Menart
2024	J	`jnl`	Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry. CoRR Raef Bassily, Cristóbal Guzmán, Michael Menart
2024	A*	`conf`	Public-data Assisted Private Stochastic Optimization: Power and Limitations. NeurIPS Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
2024	J	`jnl`	Public-data Assisted Private Stochastic Optimization: Power and Limitations. CoRR Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
2023	A*	`conf`	Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. COLT Raef Bassily, Cristóbal Guzmán, Michael Menart
2023	J	`jnl`	Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. CoRR Raef Bassily, Cristóbal Guzmán, Michael Menart
2023	J	`jnl`	Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. CoRR Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
2023	A*	`conf`	Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. ICML Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022	A*	`conf`	Differentially Private Generalized Linear Models Revisited. NeurIPS Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022	J	`jnl`	Differentially Private Generalized Linear Models Revisited. CoRR Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2022	J	`jnl`	Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. CoRR Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
2021	A*	`conf`	Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. NeurIPS Raef Bassily, Cristóbal Guzmán, Michael Menart
2021	J	`jnl`	Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. CoRR Raef Bassily, Cristóbal Guzmán, Michael Menart