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stat.ML2026
Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference
Xinbing Kong, Zeyu Li, Junfan Mao +1
Causal inference guides operational and managerial decisions but remains challenging in high-dimensional panel or tensor settings, where decisions may depend on the joint condition…
stat.ML2024
Representational Transfer Learning for Matrix Completion
Yong He, Zeyu Li, Dong Liu +2
We propose to transfer representational knowledge from multiple sources to a target noisy matrix completion task by aggregating singular subspaces information. Under our representa…
stat.ML2024★ 1 cited
Knowledge Transfer across Multiple Principal Component Analysis Studies
Zeyu Li, Kangxiang Qin, Yong He +2
Transfer learning has aroused great interest in the statistical community. In this article, we focus on knowledge transfer for unsupervised learning tasks in contrast to the superv…