Statistical Learning Theory and Applications
Introduction to Machine Learning
Smooth, Finite, and Convex Optimization Deep Learning Summer School
Machine learning for cognitive science 3: Kernel methods and Bayesian methods
Machine learning for cognitive science 2: Bayesian methods and statistical learning theory
Empirical Game-Theoretic Analysis and the Behavior of Software Agents
Information Theory
Training Deep Neural Networks
Optimization Algorithms in Support Vector Machines
High-Dimensional Statistics