booknow publishers, Inc. eBooksJan 1, 2011Closed access

Online Learning and Online Convex Optimization

Hebrew University of Jerusalem

Indexed incrossref

Abstract

Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence of accurate predictions given knowledge of the correct answer to previous prediction tasks and possibly additional available information. Online learning has been studied in several research fields including game theory, information theory, and machine learning. It also became of great interest to practitioners due the recent emergence of large scale applications such as online advertisement placement and online web ranking. Online Learning and Online Convex Optimization is a modern overview of online learning. Its aim is to provide the reader with a sense…

Citation impact

1,222
total citations
FWCI
12.21
Percentile
100%
References
47
Citations per year

Authors

1

Topics & keywords

Keywords
  • Computer science
  • Online learning
  • Online machine learning
  • Perspective (graphical)
  • Artificial intelligence
  • Learning to rank
  • Ranking (information retrieval)
  • Machine learning
UN Sustainable Development Goals
  • Quality Education
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