Design and Analysis of Algorithms
Light, charges and brains
Bounding the Gaussian Process Information Gain: Applications to PAC-Bayes and GP Bandit Optimization
Are Linear Models Right for Language?
Practical Meteorology: An Algebra-based Survey of Atmospheric Science
Information Theory
Neighbourhood Components Analysis and Metric Learning
Principles of Digital Communication II
Data Mining for Anomaly Detection
Topics in Statistics: Statistical Learning Theory