Timezone: »

 
Structured Low-Rank Tensor Learning
Jayadev Naram · Tanmay Sinha · Pawan Kumar

@
in OPT 2021: Optimization for Machine Learning »

We consider the problem of learning low-rank tensors from partial observations with structural constraints and propose a novel factorization of such tensors, which leads to a simpler optimization problem. The resulting problem is an optimization problem on manifolds. We develop first-order and second-order Riemannian optimization algorithms to solve it. The duality gap for the resulting problem is derived, and we experimentally verify the correctness of the proposed algorithm. We demonstrate the algorithm on Nonnegative constraints and Hankel constraints.

Author Information

Jayadev Naram (International Institute of Information Technology, Hyderabad)
Tanmay Sinha (International Institute of Information Technology, Hyderabad)
Pawan Kumar (IIIT, Hyderabad)

More from the Same Authors