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Yingxue Zhou
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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
822016
Bypassing the ambient dimension: Private sgd with gradient subspace identification
Y Zhou, ZS Wu, A Banerjee
International Conference on Learning Representations, 2020
442020
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
292020
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
142020
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
132020
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
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
62020
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
22022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A Banerjee, T Chen, X Li, Y Zhou
arXiv preprint arXiv:2201.03064, 2022
12022
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
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