Sigma point and particle approximations of stochastic differential equations in optimal filtering
Analyzing Text and Social Network Data with Probabilistic Models
Introduction to Machine Learning
Deep Learning 2
From Kernels to Causality
Theoretical neuroscience and deep learning theory
Bayesian Interpretations of RKHS Embedding Methods
Generative Models I
Approximate inference for continuous time Markov processes
Large-scale and larger-scale image search