Maxime Gauillaud

Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective

Under a simplified data model, this paper provides a theoretical analysis of learning from data that have an underlying low-rank tensor structure in both supervised and unsupervised settings. For the supervised setting, we provide an analysis of a Ridge classifier (with high regularization parameter…