91 citations · 252 across the 27 of their papers we have counts for
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cs.LG2021
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
Bingzhe Wu, Zhicong Liang, Yatao Bian +3
Recently, generalization bounds of the non-convex empirical risk minimization paradigm using Stochastic Gradient Langevin Dynamics (SGLD) have been extensively studied. Several the…
cs.IR2021★ 1 cited
A Unified Framework for Cross-Domain and Cross-System Recommendations
Feng Zhu, Yan Wang, Jun Zhou +3
Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) have been proposed to improve the recommendation accuracy in a target dataset (domain/system) with the help…
cs.LG2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation
Fei Zheng, Chaochao Chen, Xiaolin Zheng +1
With the increasing demands for privacy protection, privacy-preserving machine learning has been drawing much attention in both academia and industry. However, most existing method…