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I have graduated with a Ph.D. in Statistics from Stanford University in summer 2003, where I worked with Jerry Friedman and Trevor Hastie. My thesis: Topics in Regularization and Boosting. I spent four years at IBM Research, in the DAR group. I am now in the Statistics department at Tel Aviv University. My research interests are in Statistical Learning theory and applications and in Data Mining.
Predictive Modelling in the Wild: Success Factors in Data Mining Competitions and Real-World Applications
as author at Tutorials,
together with: Claudia Perlich,
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression
as author at 25th International Conference on Machine Learning (ICML), Helsinki 2008,