Markov Chains and Mixing Times

High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics)

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)

Probability on Trees and Networks (Cambridge Series in Statistical and Probabilistic Mathematics)

Concentration Inequalities: A Nonasymptotic Theory of Independence

Probability with Martingales (Cambridge Mathematical Textbooks)

Large Networks and Graph Limits (Colloquium Publications) (American Mathematical Society Colloquium Publications)

Deep Learning (Adaptive Computation and Machine Learning series)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Information, Physics, and Computation (Oxford Graduate Texts)