Ofer Dekel (researcher) explained

Ofer Dekel
Birth Place:	Israel
Fields:	Machine learning, statistical learning theory, online prediction, optimization, web search, and stochastic optimization
Work 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

, 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

• 7. 551–585. Crammer. Koby. Ofer. Dekel. Joseph. Keshet. Shai. Shalev-shwartz. Yoram. Singer. Online Passive-Aggressive Algorithms. Journal of Machine Learning Research. 2006. 2013-09-12.
• Neural Information Processing Systems. Dekel. Ofer. Christopher . Manning. Yoram. Singer. Log-Linear Models for Label Ranking. 2003. 2013-09-12.
• 10.1145/1015330.1015374. International Conference on Machine Learning. Dekel. Ofer. Joseph. Keshet. Yoram. Singer. Large margin hierarchical classification. 2004. 2013-09-12.
• Ofer. Dekel. Shai. Shalev-Shwartz. Yoram. Singer. 10.1137/060666998. 37. 5. 1342–1372. The forgetron: A kernel-based perceptron on a budget. 2008. SIAM Journal on Computing. 10.1.1.115.568.
• Ofer. Dekel. Ohad. Shamir. COLT 2009. Vox populi: Collecting high-quality labels from a crowd. 2009. PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning. 2013-09-16. https://web.archive.org/web/20120626201330/http://eprints.pascal-network.org/archive/00005406/. 2012-06-26. dead.
• Ofer. Dekel. Felix. Fischer. Ariel D.. Procaccia. Incentive compatible regression learning. 76. 8. December 2010. 759–777. Journal of Computer and System Sciences. 10.1016/j.jcss.2010.03.003. 141455. free.
• Book: Ofer. Dekel. Joseph. Keshet. Yoram. Singer. An online algorithm for hierarchical phoneme classification. 2005. Machine Learning for Multimodal Interaction. Springer. Lecture Notes in Computer Science. 3361. 146–158. 10.1007/978-3-540-30568-2_13. 978-3-540-30568-2. 108716892. 10.1.1.108.8522.
• Ofer. Dekel. Ohad. Shamir. Lin. Xiao. Learning to classify with missing and corrupted features. November 2010. 81. 2. 149–178. Machine learning. 10.1007/s10994-009-5124-8. 10.1.1.187.8865. 259138.
• Ofer. Dekel. Ran. Gilad-Bachrach. Ohad. Shamir. Lin. Xiao. Optimal distributed online prediction using mini-batches. 13. 1. January 2012. 165–202. Journal of Machine Learning Research. Association for Computing Machinery. 2013-09-16 .

See also

• Bing
• Jubatus
• Machine learning
• Statistical learning theory
• Stochastic optimization

External links

• Web site: Ofer Dekel's Homepage . Ofer . Dekel . August 30, 2011 . . Redmond, WA, USA . August 30, 2011 .
• Web site: Ofer Dekel's publications hosted at Microsoft Research. 2013-09-20. . Redmond, WA, USA .
• Web site: Ofer Dekel's videos at Microsoft Research. 2013-09-20. . Redmond, WA, USA .
• Web site: Ofer. Dekel. Ambuj. Tewari. Raman. Arora. Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. TechTalks.tv. 2013-09-20. video with slides.

Notes and References

1. Web site: Machine Learning Department . Machine Learning Department . . Redmond, WA, USA . August 30, 2011 .
2. Web site: A Tutorial on Modern Learning Theory (course description) . 2013-09-13.
3. Web site: Ofer Dekel | Computer Science & Engineering . . Seattle, WA . 2013-09-13.
4. Web site: Ofer Dekel - computer science researcher. 2013-09-20.
5. Web site: .H-Index.. 2013-09-20. https://web.archive.org/web/20130921060059/http://www.academicrecommendationsys.org/arsys.iiu.edu.pk/h-index.php?start=109210. 2013-09-21. dead.
6. Franceschet. Massimo. 2010. A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar. Scientometrics. 83. 1. 243–258. 1588-2861. 4846912. 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.. 10.1007/s11192-009-0021-2. 10.1.1.169.8426. 10574859.