2 papers
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.ME2026
Tucker Diffusion Model for High-dimensional Tensor Generation
Jianhua Guo, Xinbing Kong, Zeyu Li +1
Statistical inference on large-dimensional tensor data has been extensively studied in the literature and widely used in economics, biology, machine learning, and other fields, but…