2019
Singleshot : a scalable Tucker tensor decomposition
NeurIPS 2019poster
This paper introduces a new approach for the scalable Tucker decomposition problem. Given a tensor X , the method proposed allows to infer the latent factors by processing one subtensor drawn from X at a time. The key principle of our approach is based on the recursive computations of gradient and o…