Synopsis
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.
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About the Authors
Tamir Hazan is Assistant Professor at Technion, Israel Institute of Technology.
George Papandreou is a Research Scientist for Google, Inc.
Daniel Tarlow is a Researcher at Microsoft Research Cambridge, UK.
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Perturbations, Optimization, and Statistics (Neural Information Processing series)
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Perturbations, Optimization, and Statistics (Neural Information Processing series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
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