Следене
Puyu Wang
Puyu Wang
Потвърден имейл адрес: hkbu.edu.hk
Заглавие
Позовавания
Позовавания
Година
Differentially private SGD with non-smooth losses
P Wang, Y Lei, Y Ying, H Zhang
Applied and Computational Harmonic Analysis 56, 306-336, 2022
242022
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
222021
Differential privacy for sparse classification learning
P Wang, H Zhang
Neurocomputing 375, 91-101, 2020
212020
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
122022
Differentially private empirical risk minimization for AUC maximization
P Wang, Z Yang, Y Lei, Y Ying, H Zhang
Neurocomputing 461, 419-437, 2021
102021
Model selection with distributed SCAD penalty
P Wang, H Zhang, Y Liang
Journal of Applied Statistics 45 (11), 1938-1955, 2018
52018
Stability and Generalization for Randomized Coordinate Descent
P Wang, L Wu, Y Lei
The Thirtieth International Joint Conference on Artificial Intelligence …, 2021
42021
Distributed logistic regression with differential privacy
P Wang, H Zhang
Sci. Sin. Inform. doi 10, 2020
42020
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
22019
Sparse Bayesian linear regression using generalized normal priors
H Zhang, P Wang, Q Dong, P Wang
International Journal of Wavelets, Multiresolution and Information …, 2017
22017
Pliable lasso for the support vector machine
TQ Asenso, P Wang, H Zhang
Communications in Statistics-Simulation and Computation 53 (2), 786-798, 2024
12024
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
12023
Differentially private stochastic gradient descent with low-noise
P Wang, Y Lei, Y Ying, DX Zhou
Neurocomputing, 127557, 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
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Статии 1–14