Discovery of Latent Factors in High-dimensional Data via Tensor Decomposition
Latent or hidden variable models have applications in almost every domain, e.g., social network analysis, natural language processing, computer vision and computational biology. Training latent variable models is challenging due to non-convexity of the likelihood…