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Robert Elias Schapire,
an American mathematician, computer scientist, professor at Princeton University, and since 2014 principal researcher at Microsoft Research [1]. He received his Bachelor degree in mathematics and CS from Brown University in 1986, and his Master's degree and Ph.D. from MIT in 1988 and 1991 respectively, both under the supervision of Ronald L. Rivest [2]. His research interest is in theoretical and applied machine learning, with particular focus on computational statistics, boosting, online learning, game theory, and maximum entropy. On his work in collaboration with Yoav Freund on AdaBoost, an ensemble learning algorithm which is used to combine many "weak" learning machines to create a more robust one, he received the 2003 Gödel prize in theoretical computer science, and the Paris Kanellakis Award in 2004. Further, along with Peter Auer and Nicolò Cesa-Bianchi, Yoav Freund and Robert Schapire worked on multi-armed bandit problems [3].
Robert Schapire [4] [5]

Selected Publications

[6] [7]

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External Links


References

  1. ^ Robert Schapire - Microsoft Research
  2. ^ ICMLA 2009 - Invited Speakers
  3. ^ Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert Schapire (1998). Gambling in a rigged casino: The adversarial multi-arm bandit problem. NeuroCOLT2, pdf
  4. ^ ICMLA 2009 - Invited Speakers
  5. ^ Robert Schapire - Department of Computer Science, Princeton University - VideoLectures.NET
  6. ^ Robert Schapire - Publication list
  7. ^ dblp: Robert E. Schapire
  8. ^ Good–Turing frequency estimation from Wikipedia
  9. ^ Jack Good (1953). The population frequencies of species and the estimation of population parameters. Biometrika, Vol. 40, Nos. 3-4
  10. ^ Jack Good (2000). Turing’s anticipation of emprical Bayes in connection with the cryptanalysis of the naval enigma. Journal of Statistical Computation and Simulation, Vol. 66, No. 2

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