Keynote 6: Guido Montufar

Guido is an Assistant Professor at the Departments of Mathematics and Statistics at the University of California, Los Angeles (UCLA), and he is the principal investigator in the ERC Project „Deep Learning Theory: Geometric Analysis of Capacity, Optimization, and Generalization for Improving Learning in Deep Neural Networks" at the Max Planck Institute for Mathematics in the Sciences. Guido Montúfar is interested in mathematical machine learning, especially the interplay of model capacity, optimization, and generalization in deep learning. In current projects, he investigates optimization landscapes and regularization strategies for neural networks, intrinsic motivation in reinforcement learning, information theoretic approaches to learning data representations, information geometric and optimal transportation approaches to generative modelling, and algebraic geometric approaches to graphical models with hidden variables.