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A comprehensive reference for the theory of bandit convex optimization (zeroth-order optimisation) for researchers and students.
About the Author: Tor Lattimore is a researcher at Google DeepMind working on reinforcement learning, bandits, optimisation and the theory of machine learning. He is the co-author of an introductory book on bandit algorithms and has published nearly 100 conference and journal articles. He is an action editor for the Journal of Machine Learning Research.
Title: Bandit Convex Optimisation
Publisher: Cambridge University Press
Publication Date: 2026
Binding: HRD
Condition: New