Convex Relaxation and Estimation of High-Dimensional Matrices
Sigma point and particle approximations of stochastic differential equations in optimal filtering
Learning with Gaussian Processes
Optimization I
Theoretical neuroscience and deep learning theory
Estimation and Control of Aerospace Systems
Lecture 7: Generalized Inequality Constraints
Introduction to Communication, Control, and Signal Processing
Convolutional Neural Networks and Computer Vision
Machine Learning and Cognitive Science