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Preprint Sep 2026

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...

Kang-Xiang Qin, Ze-Yu Li, Xin-Bing Kong et al. · 0 citations
#machine learning Preprint Sep 2026

Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference

Counterfactual Tucker Diffusion (CFTDiff), which integrates the treatment mask and latent Tucker structure into conditional diffusion to recover this distribution given observed control outcomes through efficient nonlinear score learning in a low-dimensional core, and establishes high-probability error bounds.

Xin-Bing Kong, Ze-Yu Li, Jun-Fa Mao et al. · 0 citations

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