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Ralf Herbrich: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Bernhard Schölkopf, Ralf Herbrich, Alex J. Smola
    A Generalized Representer Theorem. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:416-426 [Conf]
  4. Ralf Herbrich, Thore Graepel, Colin Campbell
    Robust Bayes Point Machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:49-54 [Conf]
  5. 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]
  6. 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]
  7. 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]
  8. Tobias Scheffer, Ralf Herbrich
    Unbiased Assesment of Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:798-803 [Conf]
  9. 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]
  10. 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]
  11. Thore Graepel, Ralf Herbrich
    The Kernel Gibbs Sampler. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:514-520 [Conf]
  12. Thore Graepel, Ralf Herbrich
    Invariant Pattern Recognition by Semi-Definite Programming Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  13. 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]
  14. Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor
    Semi-Definite Programming by Perceptron Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  15. Thore Graepel, Ralf Herbrich, Klaus Obermayer
    Bayesian Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:456-462 [Conf]
  16. Thore Graepel, Ralf Herbrich, Robert C. Williamson
    From Margin to Sparsity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:210-216 [Conf]
  17. 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]
  18. Ralf Herbrich, Thore Graepel
    Large Scale Bayes Point Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:528-534 [Conf]
  19. Ralf Herbrich, Robert C. Williamson
    Algorithmic Luckiness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:391-397 [Conf]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. David Stern, Ralf Herbrich, Thore Graepel
    Learning to solve game trees. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:839-846 [Conf]
  31. Ralf Herbrich, Tom Minka, Thore Graepel
    TrueSkillTM: A Bayesian Skill Rating System. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:569-576 [Conf]

  32. Collaborative Expert Portfolio Management. [Citation Graph (, )][DBLP]


  33. Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. [Citation Graph (, )][DBLP]


  34. Large scale data analysis and modelling in online services and advertising. [Citation Graph (, )][DBLP]


  35. Scalable clustering and keyword suggestion for online advertisements. [Citation Graph (, )][DBLP]


  36. TrueSkill Through Time: Revisiting the History of Chess. [Citation Graph (, )][DBLP]


  37. Bayesian Knowledge Corroboration with Logical Rules and User Feedback. [Citation Graph (, )][DBLP]


  38. Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems. [Citation Graph (, )][DBLP]


  39. Matchbox: large scale online bayesian recommendations. [Citation Graph (, )][DBLP]


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