Mikhail TraskinAssistant ProfessorDepartment of Statistics The Wharton School University of Pennsylvania 400 Huntsman Hall Philadelphia, PA 19104 Office: 466 Jon M. Huntsman Hall Email: mtraskin@wharton Phone:(215) 898-8231 Fax: (215) 898-1280 |
Teaching
- Spring 2009 — Stat 553 Machine Learning
- Fall 2008 — Stat 431 Statistical Inference
- Spring 2008 — Stat 553 Machine Learning
- Fall 2007 — Stat 431 Statistical Inference
Research
My research interests include- statistical learning theory
- machine learning
- consistency of ensemble classification methods, for example, boosting and random forest
- model selection
- multitask learning
- prediction with expert advice
Publications
Peter L. Bartlett and Mikhail
Traskin.
Adaboost is consistent.
In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 105–112. MIT Press, Cambridge, MA, 2007.
bib | pdf | abstract | NIPS proceedings
Adaboost is consistent.
In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 105–112. MIT Press, Cambridge, MA, 2007.
bib | pdf | abstract | NIPS proceedings
Peter L. Bartlett and Mikhail
Traskin.
Adaboost is Consistent.
Journal of Machine Learning Research, 8:2347–2368, 2007.
Was Technical Report 722, Department of Statistics, UC Berkeley, 2006.
bib | pdf | abstract | Journal of Machine Learning Research
Adaboost is Consistent.
Journal of Machine Learning Research, 8:2347–2368, 2007.
Was Technical Report 722, Department of Statistics, UC Berkeley, 2006.
bib | pdf | abstract | Journal of Machine Learning Research