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stat.ME2026
Optimal Personalized Subspace Learning for Multi-view Tensor Observations
Kangxiang Qin, Zeyu Li, Xinbing Kong +1
In this work, we model the observed multi-view tensors by decomposing the underlying signal in each view into two components: (i) the shared component that captures common dynamics…
stat.ME2026
Transfer Learning for Degree-Corrected Mixed Membership Network Models
Yong He, Kangxiang Qin, Haoran Tang
Statistical analysis of network data has attracted considerable attention in recent years, due to the rapid advancement of well-trained network models and the accessibility of larg…