Probabilistic Graphical Models Principles and Techniques

Elements of Information Theory, Second Edition

Reinforcement Learning and Dynamic Programming Using Function Approximators

Computational Principles of Mobile Robotics

Machine Learning: An Algorithmic Perspective

Principles of Robot Motion: Theory, Algorithms, and Implementations

All of Nonparametric Statistics

Pattern Recognition (Fourth Edition)

Reinforcement Learning: An Introduction

Kernel Methods for Pattern Analysis

Introduction to Machine Learning, second edition

Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods

Gaussian Processes for Machine Learning

Introduction to Algorithms, Third Edition

Optimization Algorithms on Matrix Manifolds

Computer Vision: Models, Learning, and Inference