Generalization and Overfitting in Matrix Product State Machine Learning Architectures

Artem Strashko, E. Miles Stoudenmire

While overfitting and, more generally, double descent are ubiquitous in machine learning, increasing the number of parameters of the most widely used tensor network, the matrix pro…