Algorithm Design
Jon Kleinberg & Éva Tardos
Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz & Tsung-Hsien Lee & Amit Prakash
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Learning Theory From First Principles
Francis Bach