关注
Yingxue Zhou
标题
引用次数
引用次数
年份
Bypassing the ambient dimension: Private sgd with gradient subspace identification
Y Zhou, ZS Wu, A Banerjee
International Conference on Learning Representations, 2020
992020
Differentially private online learning for cloud-based video recommendation with multimedia big data in social networks
P Zhou, Y Zhou, D Wu, H Jin
IEEE transactions on multimedia 18 (6), 1217-1229, 2016
982016
Hessian based analysis of sgd for deep nets: Dynamics and generalization
X Li, Q Gu, Y Zhou, T Chen, A Banerjee
Proceedings of the 2020 SIAM International Conference on Data Mining, 190-198, 2020
512020
Private stochastic non-convex optimization: Adaptive algorithms and tighter generalization bounds
Y Zhou, X Chen, M Hong, ZS Wu, A Banerjee
arXiv preprint arXiv:2006.13501, 2020
272020
Towards Better Generalization of Adaptive Gradient Methods.
Y Zhou, B Karimi, J Yu, Z Xu, P Li
Advances in Neural Information Processing Systems 33, 2020
212020
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A Banerjee, T Chen, X Li, Y Zhou
Proceedings of the 39th International Conference on Machine Learning, 2022, 2022
112022
De-randomized pac-bayes margin bounds: Applications to non-convex and non-smooth predictors
A Banerjee, T Chen, Y Zhou
arXiv preprint arXiv:2002.09956, 2020
82020
Distributed private online learning for social big data computing over data center networks
C Li, P Zhou, Y Zhou, K Bian, T Jiang, S Rahardja
2016 IEEE International Conference on Communications (ICC), 1-6, 2016
72016
Stable Gradient Descent
Y Zhou, S Chen, A Banerjee
UAI 2018, 2018
42018
Noisy truncated sgd: Optimization and generalization
Y Zhou, X Li, A Banerjee
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
32022
Differentially Private Online Learning for Video Recommendation with Social Big Data over Media Cloud
P Zhou, Y Zhou, D Wu, H Jin
arXiv preprint arXiv:1509.00181, 2015
12015
系统目前无法执行此操作,请稍后再试。
文章 1–11