Ofer Dekel (researcher)

This article is about the Microsoft Researcher. For the Israeli lawyer and envoy, see Ofer Dekel.
Ofer Dekel

Ofer Dekel works with the application of machine learning techniques in the development of the Bing search engine.

Ofer Dekel works with the application
of machine learning techniques
in the development of Bing.
Born Israel
Fields Machine learning, statistical learning theory, online prediction, optimization, web search, and stochastic optimization
Institutions Microsoft Research
University of Washington
Alma mater Hebrew University of Jerusalem

Ofer Dekel is a computer science researcher in the Machine Learning Department of Microsoft Research.[1] He obtained his PhD in Computer Science from the Hebrew University of Jerusalem[2] and is an affiliate faculty at the Computer Science & Engineering department at the University of Washington.[3]

Areas of research

Dekel's research topics include machine learning, online prediction, statistical learning theory, and stochastic optimization.[3] He is currently engaged in the application of machine learning techniques in the development of the Bing search engine.[2]

Bibliography

h-index

As of September 2013, Ofer Dekel has an h-index of approximately 18,[4][5] above the mean for computer scientists.[6]

Highly cited publications

Below is a select list of publications in descending order of citations

See also

References

  1. Machine Learning Department. "Machine Learning Department". Redmond, WA, USA: Microsoft Research. Retrieved August 30, 2011.
  2. 1 2 "A Tutorial on Modern Learning Theory (course description)". Retrieved 2013-09-13.
  3. 1 2 "Ofer Dekel | Computer Science & Engineering". Seattle, WA: University of Washington. Retrieved 2013-09-13.
  4. "Ofer Dekel - computer science researcher". Retrieved 2013-09-20.
  5. ":.H-Index.:". Retrieved 2013-09-20.
  6. Franceschet, Massimo (2010). "A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar" (PDF). Scientometrics. Berlin, Heidelberg: Springer Science+Business Media. 83 (1): 243–258. ISSN 1588-2861. OCLC 4846912. Retrieved 2013-09-20. For academics with computer science research focus, the average Google Scholar h index is 15.2, while the average h score on Scopus is 7.9 and on Web of Science (cited reference search) is 6.8.
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