Learning with Gaussian Processes
Statistical Methods
Learning with Probabilities
Theoretical Neuroscience and Deep Learning Theory
Bounding the Gaussian Process Information Gain: Applications to PAC-Bayes and GP Bandit Optimization
Analyzing Text and Social Network Data with Probabilistic Models
Flexible and efficient Gaussian process models
Deep Reinforcement Learning
Monte Carlo Methods
Why Bayesian nonparametrics?