Gaussian processes for Bayesian Filtering
What is Machine Learning?
Why Bayesian nonparametrics?
Density Ratio Estimation in Machine Learning
Extracting and Composing Robust Features with Denoising Autoencoders
Large-Scale Semi-Supervised Learning
Machine Learning
Learning Vector Fields with Spectral Filtering
Efficient Discriminative Training Method for Structured Predictions
Optimization in Machine Learning: Recent Developments and Current Challenges