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Synopsis
A comprehensive reference for the theory of bandit convex optimization (zeroth-order optimisation) for researchers and students.
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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.
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Bandit Convex Optimisation
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Cambridge University Press, 2026
ISBN 10: 1009607596
ISBN 13: 9781009607599
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Bandit Convex Optimisation
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ISBN 13: 9781009607599
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Bandit Convex Optimisation (Hardcover)
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ISBN 10: 1009607596
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Hardcover. Condition: new. Hardcover. This comprehensive reference brings readers to the frontier of research on bandit convex optimization or zeroth-order convex optimization. The focus is on theoretical aspects, with short, self-contained chapters covering all the necessary tools from convex optimization and online learning, including gradient-based algorithms, interior point methods, cutting plane methods and information-theoretic machinery. The book features a large number of exercises, open problems and pointers to future research directions, making it ideal for students as well as researchers. This self-contained reference brings readers to the frontier of research on bandit convex optimization while presenting fundamental tools from convex optimization such as gradient-based algorithms, interior point methods and cutting plane methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009607599
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Bandit Convex Optimisation
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ISBN 10: 1009607596
ISBN 13: 9781009607599
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Bandit Convex Optimisation
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ISBN 10: 1009607596
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Hardback. Condition: New. This comprehensive reference brings readers to the frontier of research on bandit convex optimization or zeroth-order convex optimization. The focus is on theoretical aspects, with short, self-contained chapters covering all the necessary tools from convex optimization and online learning, including gradient-based algorithms, interior point methods, cutting plane methods and information-theoretic machinery. The book features a large number of exercises, open problems and pointers to future research directions, making it ideal for students as well as researchers. Seller Inventory # LU-9781009607599
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Bandit Convex Optimisation
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Bandit Convex Optimisation
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ISBN 13: 9781009607599
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