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Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Condition: New.
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Bandit Algorithms (Hardback or Cased Book)
Language: English
Published by Cambridge University Press 9/10/2020, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Hardback or Cased Book. Condition: New. Bandit Algorithms. Book.
-
Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Condition: New.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Condition: New.
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Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Condition: As New. Unread book in perfect condition.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Condition: New.
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Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Condition: As New. Unread book in perfect condition.
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Bandit Algorithms
Language: English
Published by Cambridge University Press CUP, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Condition: New.
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Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, GB, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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.
-
Bandit Algorithms
Language: English
Published by Cambridge University Press 2020-07-16, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Hardcover. Condition: New.
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Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 51.83
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Bandit Algorithms
Language: English
Published by Cambridge University Press, GB, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.
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Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. Hardcover. . . . . .
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Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2026. hardcover. . . . . .
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Bandit Algorithms
Language: English
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Condition: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Condition: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Hardcover. Condition: Brand New. 280 pages. 6.00x0.69x9.00 inches. In Stock.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Condition: New.
-
Hardcover. Condition: Brand New. 517 pages. 9.50x7.00x1.25 inches. In Stock.
-
BANDIT CONVEX OPTIMISATION
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Condition: NEW.
-
Condition: New. Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for gra.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
-
Bandit Convex Optimisation
Language: English
Published by Cambridge University Press, GB, 2026
ISBN 10: 1009607596 ISBN 13: 9781009607599
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.
-
Bandit Algorithms (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Hardcover. Condition: new. Hardcover. Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes. Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
