Items related to Perturbations, Optimization, and Statistics
Synopsis
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Search results for Perturbations, Optimization, and Statistics
Stock Image
Perturbations, Optimization, and Statistics (Neural Information Processing series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. Seller Inventory # mon0000010765