Showing results 1 to 16 of 16
| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
Differentially private empirical risk minimization for AUC maximization Journal:Neurocomputing | 2021 | |||
Differentially private SGD with non-smooth losses Journal:Applied and Computational Harmonic Analysis | 2022 | |||
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 | |||
Fine-Grained analysis of stability and generalization for stochastic gradientdescent Proceeding/Conference:37th International Conference on Machine Learning, ICML 2020 | 2020 | |||
Generalization Analysis for Contrastive Representation Learning Proceeding/Conference:International Conference on Machine Learning (23/07/2023-29/07/2023, Honolulu, Hawaii) | 23-Jul-2023 | |||
Generalization analysis of multi-modal metric learning Journal:Analysis and Applications | 2016 | |||
Generalization Guarantee of SGD for Pairwise Learning Proceeding/Conference:Advances in Neural Information Processing Systems | 2021 | |||
SHARPER GENERALIZATION BOUNDS FOR LEARNING WITH GRADIENT-DOMINATED OBJECTIVE FUNCTIONS Proceeding/Conference:ICLR 2021 - 9th International Conference on Learning Representations | 2021 | |||
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 Analysis of Gradient Methods for Shallow Neural Networks Proceeding/Conference:Advances in Neural Information Processing Systems | 2022 | |||
Stability and Generalization for Markov Chain Stochastic Gradient Methods Proceeding/Conference:Advances in Neural Information Processing Systems | 2022 | |||
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 | |||
Stochastic proximal AUC maximization Journal:Journal of Machine Learning Research | 2021 |