College of Science Events

Speaker: Rose Yu (Khoury, NU) Abstract: Multivariate spatiotemporal data is ubiquitous in science and engineering, from sports analytics to neuroscience. Such data can be naturally represented as a multiway tensor. Tensor latent factor models provide a powerful tool for reducing the dimensionality and discovering the higher-order latent structures from data. However, existing tensor models are often slow or fail to yield latent factors that are easy to interpret by domain…