03838nam 22006255 450 99646534240331620230913171352.0981-15-2910-89789811529108(eBook)10.1007/978-981-15-2910-8(CKB)4100000011273628(MiAaPQ)EBC6213171(DE-He213)978-981-15-2910-8(PPN)248393383(EXLCZ)99410000001127362820200529h20202020 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAccelerated optimization for machine learning first-order algorithms /Zhouchen Lin, Huan Li, Cong FangSingapore :Springer,[2020]©20201 online resource (286 pages)981-15-2909-4 9789811529092 Includes bibliographical references and index.Chapter 1. Introduction -- Chapter 2. Accelerated Algorithms for Unconstrained Convex Optimization -- Chapter 3. Accelerated Algorithms for Constrained Convex Optimization -- Chapter 4. Accelerated Algorithms for Nonconvex Optimization -- Chapter 5. Accelerated Stochastic Algorithms -- Chapter 6. Accelerated Paralleling Algorithms -- Chapter 7. Conclusions.This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning. It discusses a variety of methods, including deterministic and stochastic algorithms, where the algorithms can be synchronous or asynchronous, for unconstrained and constrained problems, which can be convex or non-convex. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking faster optimization algorithms, as well as for graduate students and researchers wanting to grasp the frontiers of optimization in machine learning in a short time.Machine learningMathematicsMathematical optimizationComputer mathematicsMachine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26008Math Applications in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17044Computational Mathematics and Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M1400XMachine learningMathematics.Mathematical optimization.Computer mathematics.Machine Learning.Optimization.Math Applications in Computer Science.Computational Mathematics and Numerical Analysis.006.31Lin Zhouchenauthttp://id.loc.gov/vocabulary/relators/aut908694Li Huanauthttp://id.loc.gov/vocabulary/relators/autFang Congauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996465342403316Accelerated Optimization for Machine Learning2032253UNISA