Senior researcher in the research group "Stochastic Algorithms and Nonparametric Statistics" of the Weierstrass Institute for Applied Analysis and Stochastics
Senior researcher in the EU-funded project "MASH - Massive Set of Heuristics for Machine Learning"
News
- Our paper "Optimal Learning Rates for Kernel Conjugate Gradient Regularization" is accepted at Neural Information Processing Systems 2010. See the list of publications for an extended abstract.
- Our paper Automatic Semantics-Aware Analysis of Network Payloads is accepted at the ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning.
- Together with Anne-Laure Boulesteix, I organize a workshop on Validation in Statistics and Machine Learning.
Research Interests
- machine learning and statistics
- dimensionality reduction, in particular Partial Least Squares
- kernel based learning and nonparametric statistics
- model and variable selection
- matrix decompositions in statistics
- boosting
- statistical computing, in particular R
Contact Information
- Office:
- Weierstrass Institute for Applied Analysis and Stochastics
(WIAS)
Mohrenstr. 39
10117 Berlin, Germany
room 511 - Phone:
- +49(0) 30 20372-512
- Fax:
- +49(0) 30 2044975
- Email:
- nicole.kraemer (at) wias-berlin.de