29 citations · 47 across the 3 of their papers we have counts for
3 papers
Score Function Features for Discriminative Learning: Matrix and Tensor Framework
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we cons…
Score Function Features for Discriminative Learning
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we cons…
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods
Animashree Anandkumar, Rong Ge, Majid Janzamin
We provide guarantees for learning latent variable models emphasizing on the overcomplete regime, where the dimensionality of the latent space can exceed the observed dimensionalit…