Kang-Xiang Qin

Optimal Personalized Subspace Learning for Multi-view Tensor Observations

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 across all views, and (ii) the private component that accounts for view-wise unique variations. To decouple the shared and private componen...