![Geometry and Computation in High Dimensions.png](/sites/default/files/styles/workshop_banner_sm_1x/public/2023-05/Geometry%20and%20Computation%20in%20High%20Dimensions.png.jpg?itok=1JtiYLWR)
Abstract
This tutorial will cover recent progress in high-dimensional learning, including tensor methods for learning latent variable models, algorithmic robust statistics (both in unsupervised and supervised settings) and applications to inverse problems in the sciences.