Introduction to Machine Learning
Optimization in Learning and Data Analysis
Why Bayesian nonparametrics?
Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo
Well-known shortcomings, advantages and computational challenges in Bayesian modelling: a few case stories
Learning with Gaussian Processes
Modelling Transcriptional Regulation with Gaussian Processes
Introduction to Graphical Models for Data Mining
Dimensionality Reduction
A Survey of Model-Based Methods for Global Optimization