Introduction to Bayesian Nonparametrics
Algorithmic Aspects of Machine Learning
Introduction to Machine Learning
Poster Spotlights
Stacks of Restricted Boltzmann Machines
Inference for PCFGs and Adaptor Grammars
Convolutional Neural Networks and Computer Vision
Learning and Inference in Low-Level Vision
Generative Models II
Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models