2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity
AISTATS 2024poster
We theoretically analyze the implicit regularization of deep learning for tensor completion. We show that deep Tucker factorization trained by gradient descent induces a structured sparse regularization. This leads to a characterization of the effect of the depth of the neural network on the implici…