Nonparametric Bayesian Modelling
Graphical Models and message-passing algorithms
Introduction to Communication, Control, and Signal Processing
Message-Passing Algorithms for GMRFs and Non-Linear Optimization
Sparse Methods for Machine Learning: Theory and Algorithms
Scaling Latent Variable Models
MAP inference in Discrete Models
Algorithmic Aspects of Machine Learning
From kernels to causal inference
Bayesian Methods