Ivan Peshekhonov

Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach

Factorization of a matrix into a product of two rectangular factors, is a classic tool in various machine learning applications. Tensor factorizations generalize this concept to more than two dimensions. In applications, where some of the tensor dimensions have the same size or encode the same objec…