| Differentially private stochastic optimization: New results in convex and non-convex settings R Bassily, C Guzmán, M Menart Advances in Neural Information Processing Systems 34, 9317-9329, 2021 | 60 | 2021 |
| Faster rates of convergence to stationary points in differentially private optimization R Arora, R Bassily, T González, CA Guzmán, M Menart, E Ullah International Conference on Machine Learning, 1060-1092, 2023 | 31 | 2023 |
| Differentially private generalized linear models revisited R Arora, R Bassily, C Guzmán, M Menart, E Ullah Advances in neural information processing systems 35, 22505-22517, 2022 | 25 | 2022 |
| Differentially private algorithms for the stochastic saddle point problem with optimal rates for the strong gap R Bassily, C Guzmán, M Menart The Thirty Sixth Annual Conference on Learning Theory, 2482-2508, 2023 | 6 | 2023 |
| Differentially private non-convex optimization under the kl condition with optimal rates M Menart, E Ullah, R Arora, R Bassily, C Guzmán International Conference on Algorithmic Learning Theory, 868-906, 2024 | 4 | 2024 |
| Public-data assisted private stochastic optimization: Power and limitations E Ullah, M Menart, R Bassily, C Guzmán, R Arora arXiv preprint arXiv:2403.03856, 2024 | 2 | 2024 |
| Differentially private stochastic optimization: New results in convex and non-convex settings C Guzmán, R Bassily, M Menart arXiv e-prints, arXiv: 2107.05585, 2021 | 2 | 2021 |
| Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry R Bassily, C Guzmán, M Menart arXiv preprint arXiv:2411.05198, 2024 | | 2024 |
| The Complexity of Differentially Private Optimization for Machine Learning M Menart The Ohio State University, 2024 | | 2024 |
Raef BassilyAssociate Professor, Computer Science & Engineering, The Ohio State UniversityVerified email at osu.edu
