[PDF.71tt] Perturbations, Optimization, and Statistics (Neural Information Processing series)

Perturbations, Optimization, and Statistics (Neural Information Processing series)

[PDF.sd64] Perturbations, Optimization, and Statistics (Neural Information Processing series)

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 | #2890931 in Books |  2016-12-23 | Original language:English |  10.00 x.69 x8.00l, | File type: PDF | 412 pages

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||About the Author|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.

In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of work on learning under different rules applies perturbations to decision and learning procedures. These methods provide simple and highly efficient learning rules with improved theoretical guarantees. This book describes per...

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