Differentially private SGD with non-smooth losses P Wang, Y Lei, Y Ying, H Zhang Applied and Computational Harmonic Analysis 56, 306-336, 2022 | 25 | 2022 |
Simple stochastic and online gradient descent algorithms for pairwise learning Z Yang, Y Lei, P Wang, T Yang, Y Ying Advances in Neural Information Processing Systems 34, 20160-20171, 2021 | 24 | 2021 |
Differential privacy for sparse classification learning P Wang, H Zhang Neurocomputing 375, 91-101, 2020 | 22 | 2020 |
Stability and Generalization for Markov Chain Stochastic Gradient Methods P Wang, Y Lei, Y Ying, DX Zhou Advances in Neural Information Processing Systems 35, 37735-37748, 2022 | 14 | 2022 |
Differentially private empirical risk minimization for AUC maximization P Wang, Z Yang, Y Lei, Y Ying, H Zhang Neurocomputing 461, 419-437, 2021 | 11 | 2021 |
Model selection with distributed SCAD penalty P Wang, H Zhang, Y Liang Journal of Applied Statistics 45 (11), 1938-1955, 2018 | 6 | 2018 |
Stability and Generalization for Randomized Coordinate Descent P Wang, L Wu, Y Lei International Joint Conference on Artificial Intelligence (IJCAI-21), 2021 | 4 | 2021 |
Distributed logistic regression with differential privacy P Wang, H Zhang Sci. Sin. Inform. doi 10, 2020 | 4 | 2020 |
Sparse Bayesian linear regression using generalized normal priors H Zhang, P Wang, Q Dong, P Wang International Journal of Wavelets, Multiresolution and Information …, 2017 | 3 | 2017 |
Distributed Logistic Regression for Separated Massive Data P Shi, P Wang, H Zhang Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28 …, 2019 | 2 | 2019 |
Pliable lasso for the support vector machine TQ Asenso, P Wang, H Zhang Communications in Statistics-Simulation and Computation 53 (2), 786-798, 2024 | 1 | 2024 |
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks P Wang, Y Lei, D Wang, Y Ying, DX Zhou arXiv preprint arXiv:2305.16891, 2023 | 1 | 2023 |
Differentially private stochastic gradient descent with low-noise P Wang, Y Lei, Y Ying, DX Zhou Neurocomputing 585, 127557, 2024 | | 2024 |
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks W Mustafa, P Liznerski, A Ledent, D Wagner, P Wang, M Kloft International Conference on Artificial Intelligence and Statistics, 4528-4536, 2024 | | 2024 |
Non-vacuous PAC-Bayes bounds for Models under Adversarial Corruptions W Mustafa, P Liznerski, D Wagner, P Wang, M Kloft Workshop on "PAC-Bayes Meets Interactive Learning" at ICML 2023, 2023 | | 2023 |