文件名称：S. J. Wright Optimization for machine learning.pdf
文件大小：2.98MB
文件格式：PDF
更新时间：2020-11-08 14:23:56
Wright Optimization , machine
The yearly Neural Information Processing Systems (NIPS) workshops bring together scientists with broadly varying backgrounds in statistics, mathe- matics, computer science, physics, electrical engineering, neuroscience, and cognitive science, unified by a common desire to develop novel computa- tional and statistical strategies for information processing and to under- stand the mechanisms for information processing in the brain. In contrast to conferences, these workshops maintain a flexible format that both allows and encourages the presentation and discussion of work in progress. They thus serve as an incubator for the development of important new ideas in this rapidly evolving field. The series editors, in consultation with work- shop organizers and members of the NIPS Foundation Board, select specific workshop topics on the basis of scientific excellence, intellectual breadth, and technical impact. Collections of papers chosen and edited by the or- ganizers of specific workshops are built around pedagogical introductory chapters, while research monographs provide comprehensive descriptions of workshop-related topics, to create a series of books that provides a timely, authoritative account of the latest developments in the exciting field of neu- ral computation.