Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
Algorithms and Combinatorics (2)
Everything You Always Wanted To Know About Mathematics
Brendan W. Sullivan
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
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
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Learning Theory From First Principles
Francis Bach