The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.082secs, Finished in 0.085secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002