Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation

Introduction to Statistical Machine Learning

Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach

Density Ratio Estimation in Machine Learning

Variational Bayesian Learning Theory

Statistics for Experimenters: Design, Innovation, and Discovery

Probability and Computing: Randomized Algorithms and Probabilistic Analysis

Plant Behaviour and Intelligence

Dataset Shift in Machine Learning

Introduction to Statistical Machine Learning