arXiv stat.ML
· Papers
Generalized Least Squares Kernelized Tensor Factorization
arXiv:2412.07041v4 Announce Type: replace Abstract: Recovering incomplete multidimensional tensor-structured data is a fundamental task in many real-world applications. Smoothness-constrained low-rank tensor factorization effectively captures global and long-range correlations, but often struggles to characterize short