Ofer Dekel (researcher)

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

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]

Contents

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

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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". Archived from the original on 2013-09-21. 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 . 83 (1): 243–258. CiteSeerX   10.1.1.169.8426 . doi:10.1007/s11192-009-0021-2. ISSN   1588-2861. OCLC   4846912. S2CID   10574859 . 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.