arXiv stat.ML
· Papers
Kernel Regression with Tensor Trains and Hadamard Overparameterization
arXiv:2607.17390v1 Announce Type: new Abstract: Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way data imputation. The imputation problem is reformulated as regression in reproducing kernel Hil