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Ralf Herbrich:
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Publications of Author
- Thore Graepel, Ralf Herbrich, John Shawe-Taylor
Generalisation Error Bounds for Sparse Linear Classifiers. [Citation Graph (0, 0)][DBLP] COLT, 2000, pp:298-303 [Conf]
- Ralf Herbrich, Thore Graepel, John Shawe-Taylor
Sparsity vs. Large Margins for Linear Classifiers. [Citation Graph (0, 0)][DBLP] COLT, 2000, pp:304-308 [Conf]
- Bernhard Schölkopf, Ralf Herbrich, Alex J. Smola
A Generalized Representer Theorem. [Citation Graph (0, 0)][DBLP] COLT/EuroCOLT, 2001, pp:416-426 [Conf]
- Ralf Herbrich, Thore Graepel, Colin Campbell
Robust Bayes Point Machines. [Citation Graph (0, 0)][DBLP] ESANN, 2000, pp:49-54 [Conf]
- Thore Graepel, Mike Goutrié, Marco Krüger, Ralf Herbrich
Learning on Graphs in the Game of Go. [Citation Graph (0, 0)][DBLP] ICANN, 2001, pp:347-352 [Conf]
- Yaoyong Li, Hugo Zaragoza, Ralf Herbrich, John Shawe-Taylor, Jaz S. Kandola
The Perceptron Algorithm with Uneven Margins. [Citation Graph (0, 0)][DBLP] ICML, 2002, pp:379-386 [Conf]
- David Stern, Ralf Herbrich, Thore Graepel
Bayesian pattern ranking for move prediction in the game of Go. [Citation Graph (0, 0)][DBLP] ICML, 2006, pp:873-880 [Conf]
- Tobias Scheffer, Ralf Herbrich
Unbiased Assesment of Learning Algorithms. [Citation Graph (0, 0)][DBLP] IJCAI (2), 1997, pp:798-803 [Conf]
- Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki
Efficient Theta-Subsumption Based on Graph Algorithms. [Citation Graph (0, 0)][DBLP] Inductive Logic Programming Workshop, 1996, pp:212-228 [Conf]
- Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
A Large Deviation Bound for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP] NIPS, 2004, pp:- [Conf]
- Thore Graepel, Ralf Herbrich
The Kernel Gibbs Sampler. [Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:514-520 [Conf]
- Thore Graepel, Ralf Herbrich
Invariant Pattern Recognition by Semi-Definite Programming Machines. [Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf]
- Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer
Classification on Pairwise Proximity Data. [Citation Graph (0, 0)][DBLP] NIPS, 1998, pp:438-444 [Conf]
- Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor
Semi-Definite Programming by Perceptron Learning. [Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf]
- Thore Graepel, Ralf Herbrich, Klaus Obermayer
Bayesian Transduction. [Citation Graph (0, 0)][DBLP] NIPS, 1999, pp:456-462 [Conf]
- Thore Graepel, Ralf Herbrich, Robert C. Williamson
From Margin to Sparsity. [Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:210-216 [Conf]
- Ralf Herbrich, Thore Graepel
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. [Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:224-230 [Conf]
- Ralf Herbrich, Thore Graepel
Large Scale Bayes Point Machines. [Citation Graph (0, 0)][DBLP] NIPS, 2000, pp:528-534 [Conf]
- Ralf Herbrich, Robert C. Williamson
Algorithmic Luckiness. [Citation Graph (0, 0)][DBLP] NIPS, 2001, pp:391-397 [Conf]
- Neil D. Lawrence, Matthias Seeger, Ralf Herbrich
Fast Sparse Gaussian Process Methods: The Informative Vector Machine. [Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:609-616 [Conf]
- Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson
Online Bayes Point Machines. [Citation Graph (0, 0)][DBLP] PAKDD, 2003, pp:241-252 [Conf]
- Stephen E. Robertson, Steve Walker, Hugo Zaragoza, Ralf Herbrich
Microsoft Cambridge at TREC 2002: Filtering Track. [Citation Graph (0, 0)][DBLP] TREC, 2002, pp:- [Conf]
- Ralf Herbrich, Thore Graepel
Introduction to the Special Issue on Learning Theory. [Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2003, v:4, n:, pp:755-757 [Journal]
- Ralf Herbrich, Thore Graepel, Colin Campbell
Bayes Point Machines. [Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2001, v:1, n:, pp:245-279 [Journal]
- Ralf Herbrich, Robert C. Williamson
Algorithmic Luckiness. [Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2002, v:3, n:, pp:175-212 [Journal]
- Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf
Kernel Methods for Measuring Independence. [Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2005, v:6, n:, pp:2075-2129 [Journal]
- Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth
Generalization Bounds for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2005, v:6, n:, pp:393-425 [Journal]
- Thore Graepel, Ralf Herbrich, John Shawe-Taylor
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. [Citation Graph (0, 0)][DBLP] Machine Learning, 2005, v:59, n:1-2, pp:55-76 [Journal]
- Ralf Herbrich, Thore Graepel
A PAC-Bayesian margin bound for linear classifiers. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 2002, v:48, n:12, pp:3140-3150 [Journal]
- David Stern, Ralf Herbrich, Thore Graepel
Learning to solve game trees. [Citation Graph (0, 0)][DBLP] ICML, 2007, pp:839-846 [Conf]
- Ralf Herbrich, Tom Minka, Thore Graepel
TrueSkillTM: A Bayesian Skill Rating System. [Citation Graph (0, 0)][DBLP] NIPS, 2006, pp:569-576 [Conf]
Collaborative Expert Portfolio Management. [Citation Graph (, )][DBLP]
Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. [Citation Graph (, )][DBLP]
Large scale data analysis and modelling in online services and advertising. [Citation Graph (, )][DBLP]
Scalable clustering and keyword suggestion for online advertisements. [Citation Graph (, )][DBLP]
TrueSkill Through Time: Revisiting the History of Chess. [Citation Graph (, )][DBLP]
Bayesian Knowledge Corroboration with Logical Rules and User Feedback. [Citation Graph (, )][DBLP]
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems. [Citation Graph (, )][DBLP]
Matchbox: large scale online bayesian recommendations. [Citation Graph (, )][DBLP]
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