Ofer Dekel (researcher)
Ofer Dekel | |
---|---|
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]
Areas of research
Dekel's research topics include
Bing search engine.[2]
Bibliography
h-index
As of September 2013[update], 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
- Crammer, Koby; Dekel, Ofer; Keshet, Joseph; Shalev-shwartz, Shai; Singer, Yoram (2006). "Online Passive-Aggressive Algorithms". Journal of Machine Learning Research. 7: 551–585. Retrieved 2013-09-12.
- Dekel, Ofer; Manning, Christopher; Singer, Yoram (2003). Log-Linear Models for Label Ranking (PDF). Neural Information Processing Systems. Retrieved 2013-09-12.
- Dekel, Ofer; Keshet, Joseph; Singer, Yoram (2004). Large margin hierarchical classification. International Conference on Machine Learning. . Retrieved 2013-09-12.
- . (subscription required)
- Dekel, Ofer; Shamir, Ohad (2009). Vox populi: Collecting high-quality labels from a crowd. COLT 2009. PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning. Archived from the original on 2012-06-26. Retrieved 2013-09-16.
- Dekel, Ofer; Fischer, Felix; Procaccia, Ariel D. (December 2010). "Incentive compatible regression learning". S2CID 141455.
- OCLC 108716892. (subscription required)
- Dekel, Ofer; Shamir, Ohad; Xiao, Lin (November 2010). "Learning to classify with missing and corrupted features". S2CID 259138.
- Dekel, Ofer; Gilad-Bachrach, Ran; Shamir, Ohad; Xiao, Lin (January 2012). "Optimal distributed online prediction using mini-batches". Journal of Machine Learning Research. 13 (1). Association for Computing Machinery: 165–202. Retrieved 2013-09-16.
See also
References
- ^ Machine Learning Department. "Machine Learning Department". Redmond, WA, USA: Microsoft Research. Retrieved August 30, 2011.
- ^ a b "A Tutorial on Modern Learning Theory (course description)". Retrieved 2013-09-13.
- ^ a b "Ofer Dekel | Computer Science & Engineering". Seattle, WA: University of Washington. Retrieved 2013-09-13.
- ^ "Ofer Dekel - computer science researcher". Retrieved 2013-09-20.
- ^ ".H-Index". Archived from the original on 2013-09-21. Retrieved 2013-09-20.
- 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.
External links
- Dekel, Ofer (August 30, 2011). "Ofer Dekel's Homepage". Redmond, WA, USA: Microsoft Research. Retrieved August 30, 2011.
- "Ofer Dekel's publications hosted at Microsoft Research". Redmond, WA, USA: Microsoft Research. Retrieved 2013-09-20.
- "Ofer Dekel's videos at Microsoft Research". Redmond, WA, USA: Microsoft Research. Retrieved 2013-09-20.
- Dekel, Ofer; Tewari, Ambuj; Arora, Raman. "Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret". TechTalks.tv (video with slides). Retrieved 2013-09-20.
- Ofer Dekel at DBLP Bibliography Server