2017
Multi-output Polynomial Networks and Factorization Machines
NeurIPS 2017poster
Factorization machines and polynomial networks are supervised polynomial models based on an efficient low-rank decomposition. We extend these models to the multi-output setting, i.e., for learning vector-valued functions, with application to multi-class or multi-task problems. We cast this as the pr…