Showing results 1 to 7 of 7
| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
Differentially private empirical risk minimization for AUC maximization Journal:Neurocomputing | 2021 | |||
Differentially Private SGDA for Minimax Problems Proceeding/Conference:Proceedings of Machine Learning Research | 2022 | |||
Differentially Private SGDA for Minimax Problems Proceeding/Conference:Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022 | 2022 | |||
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning Proceeding/Conference:Advances in Neural Information Processing Systems | 2021 | |||
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss Proceeding/Conference:Proceedings of Machine Learning Research | 2021 | |||
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems Proceeding/Conference:Proceedings of Machine Learning Research | 2021 | |||
Stochastic hard thresholding algorithms for AUC maximization Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM | 2020 |