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Found 2,185 Documents (Results 1–100)

Bounded regret for finitely parameterized multi-armed bandits. (English) Zbl 07616578

Yin, George (ed.) et al., Stochastic analysis, filtering, and stochastic optimization. A commemorative volume to honor Mark H. A. Davis’s contributions. Cham: Springer. 411-429 (2022).
MSC:  62P99 62M45
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Bisimulations for neural network reduction. (English) Zbl 1498.68169

Finkbeiner, Bernd (ed.) et al., Verification, model checking, and abstract interpretation. 23rd international conference, VMCAI 2022, Philadelphia, PA, USA, January 16–18, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13182, 285-300 (2022).
MSC:  68Q60 68Q85
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Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion. (English) Zbl 1487.68200

Herzog, Roland (ed.) et al., Optimization and control for partial differential equations. Uncertainty quantification, open and closed-loop control, and shape optimization. Berlin: De Gruyter. Radon Ser. Comput. Appl. Math. 29, 419-462 (2022).
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Minimum divergence methods in statistical machine learning. From an information geometric viewpoint. (English) Zbl 07486989

Tokyo: Springer (ISBN 978-4-431-56920-6/hbk; 978-4-431-56922-0/ebook). x, 221 p. (2022).
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Machine learning with quantum computers. 2nd edition, originally published under the title Supervised learning with quantum computers. (English) Zbl 1473.81010

Quantum Science and Technology. Cham: Springer (ISBN 978-3-030-83097-7/hbk; 978-3-030-83100-4/pbk; 978-3-030-83098-4/ebook). xiv, 312 p. (2021).
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Fundamental properties of pair-wise interactions naturally lead to quarks and quark confinement: a theorem motivated by neural universal approximation results. (English) Zbl 1472.62007

Ceberio, Martine (ed.) et al., How uncertainty related ideas can provide theoretical explanation for empirical dependencies. Cham: Springer. Stud. Syst. Decis. Control 306, 75-81 (2021).
MSC:  62A01 62M45 62P35
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