TRIAD Distinguished Lecture Series: Sara van de Geer
Sharp Oracle Inequalities for Non-Convex Loss
Bio: Sara van de Geer has been Full Professor at the Seminar for Statistics at ETH Zurich since September 2005. Her main field of research is mathematical statistics, with special interest in high-dimensional problems. Focus points are: empirical processes, curve estimation, machine learning, model selection, and non- and semiparametric statistics.
She is associate editor of Probability Theory and Related Fields, Journal of the European Mathematical Society, Scandinavian Journal of Statistics, Journal of Machine Learning Research, Statistical Surveys and Journal of Statistical Planning and Inference. She is a member of the Research Council of The Swiss National Science Foundation. She is a member of the International Statistical Institute and fellow of the Institute of Mathematical Statistics. She is correspondent of the Royal Dutch Academy of Sciences and member of Leopoldina German National Academy of Sciences. She is President of the Bernoulli Society.
- Workflow Status: Published
- Created By: Kathy Huggins
- Created: 08/30/2018
- Modified By: Scott Jacobson
- Modified: 12/18/2018