@Book{MenSmo03,
  editor	= {S. Mendelson and A. J. Smola},
  title		= {Machine Learning, Proceedings of the Summer School 2002,
		  Australian National University},
  publisher	= {Springer},
  year		= {2003},
  series	= {Lecture Notes in Computer Science},
  volume	= {2600},
  url           = {http://www.springerlink.com/openurl.asp?genre=issue&issn=0302-9743&volume=2600&issue=preprint}
}

@Book{SchBurSmo99,
  editor	= {B. Sch\"{o}lkopf and C. J. C. Burges and A. J. Smola},
  title		= {Advances in Kernel Methods---Support Vector Learning},
  publisher	= {MIT Press},
  address	= {Cambridge, MA},
  year		= {1999}, 
  url           = {http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=7841}
}

@Book{SchSmo02,
  author	= {B. Sch\"{o}lkopf and A. J. Smola},
  title		= {Learning with Kernels},
  publisher	= {MIT Press},
  year		= {2002},
  url           = {http://www.learning-with-kernels.org}
}

@Book{SmoBarSchSch00,
  editor	= {A. J. Smola and P. L. Bartlett and B. Sch\"{o}lkopf and
		  D. Schuurmans},
  title		= {Advances in Large Margin Classifiers},
  publisher	= {MIT Press},
  address	= {Cambridge, MA},
  year		= {2000},
  url           = {http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=3272}
}


@Book{Bakiretal06,
  editor = 	 {G. Bakir and T. Hofmann and B. Sch\"{o}lkopf and A. J.  Smola and B. Taskar and S.V.N. Vishwanathan},
  title = 	 {Predicting Structured Data},
  publisher = 	 {MIT Press},
  year = 	 2006,
  address = 	 {Cambridge, MA},
  url        =   {http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=11332}
}

%%%%%%% papers %%%%%%%%

@InProceedings{DruBurKauSmoetal97,
  author       = {H. Drucker and C. J. C. Burges and L. Kaufman and
                  A. J. Smola and V. Vapnik},
  title	       = {Support vector regression machines},
  booktitle    = {Advances in Neural Information Processing Systems 9},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  editor       = {M. C. Mozer and M. I. Jordan and T. Petsche},
  year	       = {1997},
  pages	       = {155-161},
  pdf	       = {papers/1997/DruBurKauSmoetal97.pdf},
  postscript   = {papers/1997/DruBurKauSmoetal97.ps.gz}
}

@InProceedings{VapGolSmo97,
  author       = {V. Vapnik and S. Golowich and A. J. Smola},
  title	       = {Support vector method for function approximation,
                  regression estimation, and signal processing},
  booktitle    = {Advances in Neural Information Processing Systems 9},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pages	       = {281-287},
  editor       = {M. C. Mozer and M. I. Jordan and T. Petsche},
  year	       = {1997},
  pdf	       = {papers/1997/VapGolSmo97.pdf},
  postscript   = {papers/1997/VapGolSmo97.ps.gz}
}

@InProceedings{MulSmoRatSchetal97,
  author       = {K.-R. M\"{u}ller and A. J. Smola and G. R\"{a}tsch and
                  B. Sch\"{o}lkopf and J. Kohlmorgen and V. Vapnik},
  title	       = {Predicting Time Series with Support Vector Machines},
  booktitle    = {Artificial Neural Networks ICANN'97},
  publisher    = {Springer Lecture Notes in Computer Science,
                  Vol. 1327},
  pages	       = {999-1004},
  address      = {Berlin},
  editor       = {W. Gerstner and A. Germond and M. Hasler and
                  J.-D. Nicoud},
  year	       = {1997},
  pdf	       = {papers/1997/MulSmoRatSchetal97.pdf},
  postscript   = {papers/1997/MulSmoRatSchetal97.ps.gz}
}

@InProceedings{SchSmoMul97,
  author       = {B. Sch\"{o}lkopf and A. J. Smola and K.-R. M\"{u}ller},
  title	       = {Kernel principal component analysis},
  booktitle    = {Artificial Neural Networks ICANN'97},
  pages	       = {583-588},
  publisher    = {Springer Lecture Notes in Computer Science,
                  Vol. 1327},
  address      = {Berlin},
  editor       = {W. Gerstner and A. Germond and M. Hasler and
                  J.-D. Nicoud},
  year	       = {1997},
  pdf	       = {papers/1997/SchSmoMul97.pdf},
  postscript   = {papers/1997/SchSmoMul97.ps.gz}
}

@Article{SchSmoMul98,
  author       = {B. Sch\"{o}lkopf and A. J. Smola and K.-R. M\"{u}ller},
  title	       = {Nonlinear component analysis as a kernel Eigenvalue
                  problem},
  journal      = {Neural Computation},
  volume       = {10},
  issue	       = {5},
  pages	       = {1299-1319},
  year	       = {1998},
  pdf	       = {papers/1998/SchSmoMul98.pdf}
}

@Article{SmoSch98,
  author       = {A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {On a Kernel-based Method for Pattern Recognition,
                  Regression, Approximation and Operator Inversion},
  journal      = {Algorithmica},
  pages	       = {211-231},
  volume       = {22},
  year	       = {1998},
  pdf	       = {papers/1998/SmoSch98.pdf}
}

@Article{SmoSchMul98b,
  author       = {A. J. Smola and B. Sch\"{o}lkopf and K.-R. M\"{u}ller},
  title	       = {The Connection between Regularization Operators and
                  Support Vector Kernels},
  journal      = {Neural Networks},
  pages	       = {637-649},
  volume       = {11},
  number       = {5},
  year	       = {1998},
  pdf	       = {papers/1998/SmoSchMul98.pdf}
}

@InProceedings{SchSimSmoVap98,
  author       = {B. Sch\"{o}lkopf and P. Simard and A. J. Smola and
                  V. Vapnik},
  title	       = {Prior knowledge in support vector kernels},
  booktitle    = {Advances in Neural Information Processing Systems
                  10},
  pages	       = {640-646},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  editor       = {M. I. Jordan and M. J. Kearns and S. A. Solla},
  year	       = {1998},
  pdf	       = {papers/1998/SchSimSmoVap98.pdf},
  postscript   = {papers/1998/SchSimSmoVap98.ps.gz}
}

@InProceedings{SchBarSmoWil98,
  author       = {B. Sch\"{o}lkopf and P. L. Bartlett and A. J. Smola and
                  R. C. Williamson},
  title	       = {Support Vector Regression with Automatic Accuracy
                  Control},
  year	       = {1998},
  booktitle    = {Proceedings of the International Conference on
                  Artificial Neural Networks},
  publisher    = {Springer},
  series       = {Perspectives in Neural Computing},
  address      = {Berlin},
  editor       = {L. Niklasson and M. Boden and T. Ziemke},
  pages	       = {111-116},
  pdf	       = {papers/1998/SchBarSmoWil98.pdf},
  postscript   = {papers/1998/SchBarSmoWil98.ps.gz}
}

@InProceedings{SchKniSmoBur98,
  author       = {B. Sch\"{o}lkopf and P. Knirsch and A. J. Smola and
                  C. J. C. Burges},
  title	       = {Fast Approximation of Support Vector Kernel
                  Expansions, and an Interpretation of Clustering as
                  Approximation in Feature Spaces},
  booktitle    = {Mustererkennung 1998---20. DAGM-Symposium},
  publisher    = {Springer},
  series       = {Informatik aktuell},
  address      = {Berlin},
  editor       = {P. Levi and M. Schanz and R.-J. Ahlers and F. May},
  pages	       = {124-132},
  year	       = {1998},
  pdf	       = {papers/1998/SchKniSmoBur98.pdf},
  postscript   = {papers/1998/SchKniSmoBur98.ps.gz}
}

@InProceedings{SchMikSmoRatetal98,
  author       = {B. Sch\"{o}lkopf and S. Mika and A. J. Smola and
                  G. R\"{a}tsch and K.-R. M\"{u}ller},
  title	       = {Kernel PCA Pattern Reconstruction via
                  Approximate Pre-Images},
  year	       = {1998},
  booktitle    = {Proceedings of the International Conference on
                  Artificial Neural Networks},
  publisher    = {Springer},
  series       = {Perspectives in Neural Computing},
  address      = {Berlin},
  editor       = {L. Niklasson and M. Boden and T. Ziemke},
  pages	       = {147-152},
  pdf	       = {papers/1998/SchMikSmoRatetal98.pdf},
  postscript   = {papers/1998/SchMikSmoRatetal98.ps.gz}
}

@InProceedings{SchSmoMulBuretal98,
  author       = {B. Sch\"{o}lkopf and A. J. Smola and K.-R. M\"{u}ller
                  and C. J. C. Burges and V. Vapnik},
  title	       = {Support Vector methods in learning and feature
                  extraction},
  editor       = {T. Downs and M. Frean and M. Gallagher},
  address      = {Brisbane, Australia},
  publisher    = {University of Queensland},
  pages	       = {72-78},
  comment      = {Invited talk},
  booktitle    = {Proceedings of the Ninth Australian Conference on
                  Neural Networks},
  year	       = {1998},
  pdf	       = {papers/1998/SchSmoMulBuretal98.pdf},
  postscript   = {papers/1998/SchSmoMulBuretal98.ps.gz}
}

@InProceedings{SmoMurSchMul98,
  author       = {A. J. Smola and N. Murata and B. Sch\"{o}lkopf and
                  K.-R. M\"{u}ller},
  title	       = {Asymptotically Optimal Choice of $\varepsilon$-Loss
                  for Support Vector Machines},
  year	       = {1998},
  booktitle    = {Proceedings of the International Conference on
                  Artificial Neural Networks},
  publisher    = {Springer},
  series       = {Perspectives in Neural Computing},
  address      = {Berlin},
  editor       = {L. Niklasson and M. Boden and T. Ziemke},
  pages	       = {105-110},
  pdf	       = {papers/1998/SmoMurSchMul98.pdf},
  postscript   = {papers/1998/SmoMurSchMul98.ps.gz}
}

@InProceedings{SmoSch98b,
  author       = {A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {From regularization operators to support vector
                  kernels},
  booktitle    = {Advances in Neural Information Processing Systems
                  10},
  pages	       = {343-349},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  editor       = {M. I. Jordan and M. J. Kearns and S. A. Solla},
  year	       = {1998},
  pdf	       = {papers/1998/SmoSch98b.pdf},
  postscript   = {papers/1998/SmoSch98b.ps.gz}
}

@InProceedings{SmoSchMul98c,
  author       = {A. J. Smola and B. Sch\"{o}lkopf and K.-R. M\"{u}ller},
  title	       = {Convex Cost Functions for Support Vector Regression},
  year	       = {1998},
  booktitle    = {Proceedings of the International Conference on
                  Artificial Neural Networks},
  publisher    = {Springer},
  series       = {Perspectives in Neural Computing},
  address      = {Berlin},
  editor       = {L. Niklasson and M. Boden and T. Ziemke},
  pages	       = {99-104},
  pdf	       = {papers/1998/SmoSchMul98c.pdf},
  postscript   = {papers/1998/SmoSchMul98c.ps.gz}
}

@InProceedings{SmoSchMul98,
  author       = {A. J. Smola and B. Sch\"{o}lkopf and K.-R. M\"{u}ller},
  title	       = {General cost functions for Support Vector
                  Regression},
  editor       = {T. Downs and M. Frean and M. Gallagher},
  address      = {Brisbane, Australia},
  publisher    = {University of Queensland},
  pages	       = {79-83},
  booktitle    = {Proc.\ of the Ninth Australian Conf.\ on Neural
                  Networks},
  year	       = {1998},
  pdf	       = {papers/1998/SmoSchMul98.pdf},
  postscript   = {papers/1998/SmoSchMul98.ps.gz}
}

@TechReport{SauStiWesBotetal98,
  author       = {C. Saunders and M. O. Stitson and J. Weston and
                  L. Bottou and B. Sch\"{o}lkopf and A. J. Smola},
  title	       = {Support Vector Machine---Reference Manual},
  institution  = {Department of Computer Science, Royal Holloway,
                  University of London},
  year	       = {1998},
  address      = {Egham, UK},
  note	       = {SVM available at http://svm.dcs.rhbnc.ac.uk/},
  number       = {CSD-TR-98-03},
  pdf	       = {papers/1998/SauStiWesBotetal98.pdf},
  postscript   = {papers/1998/SauStiWesBotetal98.ps.gz}
}

@InProceedings{MulSmoRatSchetal99,
  author       = {K.-R. M\"{u}ller and A. J. Smola and G. R\"{a}tsch and
                  B. Sch\"{o}lkopf and J. Kohlmorgen and V. Vapnik},
  title	       = {Predicting Time Series with Support Vector Machines},
  publisher    = {MIT Press},
  year	       = {1999},
  pages	       = {243-254},
  booktitle    = {Advances in Kernel Methods---Support Vector
                  Learning},
  editor       = {B. Sch\"{o}lkopf and C. J. C. Burges and
                  A. J. Smola},
  address      = {Cambridge, MA},
  pdf	       = {papers/1999/MulSmoratSchetal99.pdf}
}

@InProceedings{WilSmoSch99,
  author       = {R. C. Williamson and A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {Entropy numbers, operators and support vector
                  kernels},
  publisher    = {MIT Press},
  year	       = {1999},
  pages	       = {127-144},
  booktitle    = {Advances in Kernel Methods---Support Vector
                  Learning},
  editor       = {B. Sch\"{o}lkopf and C. J. C. Burges and
                  A. J. Smola},
  address      = {Cambridge, MA},
  pdf	       = {papers/1999/WilSmoSch99.pdf}
}

@InCollection{SchSmoMul99,
  author       = {B. Sch\"{o}lkopf and A. J. Smola and K.-R. M\"{u}ller},
  title	       = {Kernel Principal Component Analysis},
  publisher    = {MIT Press},
  year	       = {1999},
  pages	       = {327-352},
  booktitle    = {Advances in Kernel Methods---Support Vector
                  Learning},
  editor       = {B. Sch\"{o}lkopf and C. J. C. Burges and
                  A. J. Smola},
  address      = {Cambridge, MA},
  pdf	       = {papers/1999/SchSmoMul99.pdf}
}

@InCollection{Smola99,
  author       = {A. J. Smola},
  title	       = {Lernen mit Kernen},
  booktitle    = {Ausgezeichnete Informatikdissertationen},
  pages	       = {184-195},
  publisher    = {Teubner, Stuttgart},
  year	       = {1999},
  pdf	       = {papers/1999/Smola99.pdf},
  postscript   = {papers/1999/Smola99.ps.gz},
  editor       = {G. Hotz et al.}
}

@Article{SchMikBurKnietal99,
  author       = {B. Sch\"{o}lkopf and S. Mika and C. J. C. Burges and
                  P. Knirsch and K.-R. M\"{u}ller and G. R\"{a}tsch
                  and A. J. Smola},
  title	       = {Input Space vs.\ Feature Space in Kernel-Based
                  Methods},
  year	       = {1999},
  journal      = {IEEE Transactions on Neural Networks},
  pages	       = {1000-1017},
  volume       = {10},
  number       = {5},
  pdf	       = {papers/1999/SchMikBurKnietal99.pdf}
}

@Article{SchMulSmo99,
  author       = {B. Sch\"{o}lkopf and K.-R. M\"{u}ller and A. J. Smola},
  journal      = {Informatik Forschung und Entwicklung},
  title	       = {Lernen mit Kernen},
  volume       = {14},
  issue	       = {3},
  pages	       = {154-163},
  year	       = {1999},
  pdf	       = {papers/1999/SchMulSmo99.pdf}
}

@InProceedings{WilSmoSch99b,
  author       = {R. C. Williamson and A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {Entropy numbers, operators and support vector
                  kernels},
  booktitle    = {Computational Learning Theory: 4th European
                  Conference},
  editors      = {P. Fischer and H. U. Simon},
  series       = {Lecture Notes in Artificial Intelligence},
  volume       = {1572},
  pages	       = {285-299},
  publisher    = {Springer},
  year	       = {1999},
  pdf	       = {papers/1999/WilSmoSch99b.pdf}
}

@InProceedings{SmoWilMikSch99,
  author       = {A. J. Smola and R. C. Williamson and S. Mika and
                  B. Sch\"{o}lkopf},
  title	       = {Regularized principal manifolds},
  booktitle    = {Computational Learning Theory: 4th European
                  Conference},
  editors      = {P. Fischer and H. U. Simon},
  series       = {Lecture Notes in Artificial Intelligence},
  volume       = {1572},
  pages	       = {214-229},
  publisher    = {Springer},
  year	       = {1999},
  pdf	       = {papers/1999/SmoWilMikSch99.pdf}
}

@InProceedings{MikSchSmoMuletal99,
  author       = {S. Mika and B. Sch\"{o}lkopf and A. J. Smola and
                  K.-R. M\"{u}ller and M. Scholz and G. R\"{a}tsch},
  title	       = {Kernel PCA and De-noising in feature spaces},
  booktitle    = {Advances in Neural Information Processing Systems
                  11},
  year	       = {1999},
  editor       = {M. S. Kearns and S. A. Solla and D. A. Cohn},
  address      = {Cambridge, MA},
  pages	       = {536-542},
  publisher    = {MIT Press},
  pdf	       = {papers/1999/MikSchSmoMuletal99.pdf},
  postscript   = {papers/1999/MikSchSmoMuletal99.ps.gz}
}

@InProceedings{SchBarSmoWil99,
  author       = {B. Sch\"{o}lkopf and P. L. Bartlett and A. J. Smola and
                  R. C. Williamson},
  title	       = {Shrinking the tube: a new support vector regression
                  algorithm},
  booktitle    = {Advances in Neural Information Processing Systems
                  11},
  year	       = {1999},
  editor       = {M. S. Kearns and S. A. Solla and D. A. Cohn},
  address      = {Cambridge, MA},
  pages	       = {330-336},
  publisher    = {MIT Press},
  pdf	       = {papers/1999/SchBarSmoWil99.pdf},
  postscript   = {papers/1999/SchBarSmoWil99.ps.gz}
}

@InProceedings{GraHerSchSmoetal99,
  author       = {T. Graepel and R. Herbrich and B. Sch\"{o}lkopf and
                  A. J. Smola and P. L. Bartlett and K.-R. M\"{u}ller and
                  K. Obermayer and R. C. Williamson},
  title	       = {Classification on proximity data with LP-machines},
  series       = {Conference Publications No. 470},
  address      = {London},
  publisher    = {IEE},
  year	       = {1999},
  pages	       = {304-309},
  booktitle    = {Ninth International Conference on Artificial Neural
                  Networks},
  pdf	       = {papers/1999/GraHerSchSmo99.pdf},
  postscript   = {papers/1999/GraHerSchSmo99.ps.gz}
}

@InProceedings{SchShaSmoWil99b,
  author       = {B. Sch\"{o}lkopf and J. Shawe-Taylor and A. J. Smola
                  and R. C. Williamson },
  title	       = {Kernel-Dependent Support Vector Error Bounds},
  series       = {Conference Publications No. 470},
  address      = {London},
  publisher    = {IEE},
  year	       = {1999},
  pages	       = {103-108},
  booktitle    = {Ninth International Conference on Artificial Neural
                  Networks},
  pdf	       = {papers/1999/SchShaSmoWil99b.pdf},
  postscript   = {papers/1999/SchShaSmoWil99b.ps.gz}
}

@InProceedings{SmoFriSch99,
  author       = {A. J. Smola and T. Friess and B. Sch\"{o}lkopf},
  title	       = {Semiparametric support vector and linear programming
                  machines},
  booktitle    = {Advances in Neural Information Processing Systems
                  11},
  editor       = {M. S. Kearns and S. A. Solla and D. A. Cohn},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pages	       = {585-591},
  year	       = {1999},
  pdf	       = {papers/1999/SmoFriSch99.pdf},
  postscript   = {papers/1999/SmoFriSch99.ps.gz}
}

@InProceedings{SmoSchRat99,
  author       = {A. J. Smola and B. Sch\"{o}lkopf and G. R\"{a}tsch},
  title	       = {Linear programs for automatic accuracy control in
                  regression},
  series       = {Conference Publications No. 470},
  address      = {London},
  publisher    = {IEE},
  year	       = {1999},
  pages	       = {575-580},
  booktitle    = {Ninth International Conference on Artificial Neural
                  Networks},
  pdf	       = {papers/1999/SmoSchRat99.pdf},
  postscript   = {papers/1999/SmoSchRat99.ps.gz}
}

@InProceedings{VanMulSmoSchetal99,
  author       = {P. Vannerem and K.-R. M\"{u}ller and A. J. Smola and
                  B. Sch\"{o}lkopf and S. S\"{o}ldner-Rembold},
  title	       = {Classifying LEP Data with Support Vector Algorithms},
  booktitle    = {Proceedings of AIHENP'99},
  year	       = {1999},
  pdf	       = {papers/1999/VanMulSmoSchetal99.pdf},
  postscript   = {papers/1999/VanMulSmoSchetal99.ps.gz}
}

@InProceedings{ZieRatMikSchetal99,
  author       = {A. Zien and G. R\"{a}tsch and S. Mika and
                  B. Sch\"{o}lkopf and C. Lemmen and A. J. Smola and
                  T. Lengauer and K.-R. M\"{u}ller},
  title	       = {Engineering Support Vector Machine Kernels That
                  Recognize Translation Initiation Sites},
  booktitle    = {Proceedings of the German Conference on
                  Bioinformatics '99},
  pages	       = {37-43},
  year	       = {1999},
  address      = {Hannover, Germany},
  month	       = oct,
  organization = {GBF},
  internet     = {http://www.bioinfo.de/isb/gcb99/talks/}
}

@InProceedings{OliSchSmo00,
  title	       = {Natural Regularization in SVMs},
  author       = {N. Oliver and B. Sch\"{o}lkopf and A. J. Smola},
  publisher    = {MIT Press},
  year	       = {2000},
  booktitle    = {Advances in Large Margin Classifiers},
  editor       = {A. J. Smola and P. L. Bartlett and B. Sch\"{o}lkopf
                  and D. Schuurmans},
  address      = {Cambridge, MA},
  pages	       = {51-60},
  pdf	       = {papers/2000/OliSchSmo00.pdf},
  postscript   = {papers/2000/OliSchSmo00.ps.gz}
}

@InProceedings{RatSchSmoMiketal00,
  title	       = {Robust ensemble learning},
  author       = {G. R\"{a}tsch and B. Sch\"{o}lkopf and A. J. Smola
                  and S. Mika and T. Onoda and K.-R. M\"{u}ller},
  publisher    = {MIT Press},
  year	       = {2000},
  booktitle    = {Advances in Large Margin Classifiers},
  editor       = {A. J. Smola and P. L. Bartlett and B. Sch\"{o}lkopf
                  and D. Schuurmans},
  address      = {Cambridge, MA},
  pages	       = {207-220},
  pdf	       = {papers/2000/RatSchSmoMiketal00.pdf},
  postscript   = {papers/2000/RatSchSmoMiketal00.ps.gz}
}

@InProceedings{SmoEliSchWil00,
  author       = {A. J. Smola and A. Elisseeff and B. Sch\"{o}lkopf
                  and R. C. Williamson},
  title	       = {Entropy Numbers for Convex Combinations and MLPs},
  publisher    = {MIT Press},
  year	       = {2000},
  booktitle    = {Advances in Large Margin Classifiers},
  editor       = {A. J. Smola and P. L. Bartlett and B. Sch\"{o}lkopf
                  and D. Schuurmans},
  address      = {Cambridge, MA},
  pages	       = {369-387},
  pdf	       = {papers/2000/SmoEliSchWil00.pdf},
  postscript   = {papers/2000/SmoEliSchWil00.ps.gz}
}

@Article{SchSmoWilBar00,
  author       = {B. Sch\"{o}lkopf and A. J. Smola and R. C. Williamson
                  and P. L. Bartlett},
  title	       = {New Support Vector Algorithms},
  journal      = {Neural Computation},
  volume       = {12},
  issue	       = {5},
  pages	       = {1207-1245},
  year	       = {2000},
  pdf	       = {papers/2000/SchSmoWilBar00.pdf}
}

@InProceedings{CamCriSmo00,
  author       = {C. Campbell and N. Cristianini and A. J. Smola},
  title	       = {Query Learning with Large Margin Classifiers},
  booktitle    = {Proceedings of the International Conference on
                  Machine Learning},
  year	       = {2000},
  pdf	       = {papers/2000/CamCriSmo00.pdf},
  postscript   = {papers/2000/CamCriSmo00.ps.gz}
}

@InProceedings{ChaSchSmo00,
  author       = {A. Chalimourda and B. Sch\"{o}lkopf and A. J. Smola},
  title	       = {Choosing $\nu$ in support vector regression with
                  different noise models---theory and experiments},
  booktitle    = {Proceedings IEEE-INNS-ENNS International Joint
                  Conference on Neural Networks (IJCNN 2000)},
  year	       = {2000},
  address      = {Como, Italy}
}

@InProceedings{MikRatWesSchetal00,
  author       = {S. Mika and G. R\"{a}tsch and J. Weston and
                  B. Sch\"{o}lkopf and A. J. Smola and
                  K.-R. M\"{u}ller},
  title	       = {Invariant Feature Extraction and Classification in
                  Kernel Spaces},
  booktitle    = {Advances in Neural Information Processing Systems
                  12},
  pages	       = {526-532},
  year	       = {2000},
  editor       = {S. A. Solla and T. K. Leen and K.-R. M{\"u}ller},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pdf	       = {papers/2000/MikRatWesSchetal00.pdf},
  postscript   = {papers/2000/MikRatWesSchetal00.ps.gz}
}

@InProceedings{RatSchSmoMiketal00b,
  title	       = {Robust Ensemble Learning for Data Mining},
  author       = {G. R\"{a}tsch and B. Sch\"{o}lkopf and A. J. Smola and
                  S. Mika and T. Onoda and K.-R. M\"{u}ller},
  booktitle    = {Proceedings of the Fourth Pacific-Asia Conference on
                  Knowledge Discovery and Data Mining},
  series       = {LNCS 1805},
  publisher    = {Springer},
  pages	       = {341-344},
  year	       = {2000}
}

@InProceedings{RatSchSmoMuletal00,
  author       = {G. R\"{a}tsch and B. Sch\"{o}lkopf and A. J. Smola
                  and K.-R. M\"{u}ller and T. Onoda and S. Mika},
  title	       = {$\nu $-Arc: Ensemble Learning in the Presence of
                  Outliers},
  booktitle    = {Advances in Neural Information Processing Systems
                  12},
  pages	       = {561-567},
  year	       = {2000},
  editor       = {S. A. Solla and T. K. Leen and K.-R. M{\"u}ller},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pdf	       = {papers/2000/RatSchSmoMuletal00.pdf},
  postscript   = {papers/2000/RatSchSmoMuletal00.ps.gz}
}

@InProceedings{SchWilSmoShaetal00,
  author       = {B. Sch\"{o}lkopf and R. C. Williamson and
                  A. J. Smola and J. Shawe-Taylor and J. C. Platt},
  title	       = {Support Vector Method for Novelty Detection},
  booktitle    = {Advances in Neural Information Processing Systems
                  12},
  pages	       = {582-588},
  year	       = {2000},
  editor       = {S. A. Solla and T. K. Leen and K.-R. M\"{u}ller},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pdf	       = {papers/2000/SchWilSmoShaetal00.pdf},
  postscript   = {papers/2000/SchWilSmoShaetal00.ps.gz}
}

@InProceedings{SmoSch00,
  author       = {A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {Sparse Greedy Matrix Approximation for Machine
                  Learning},
  booktitle    = {Proceedings of the International Conference on
                  Machine Learning},
  editor       = {P. Langley},
  publisher    = {Morgan Kaufmann Publishers},
  address      = {San Francisco},
  pages	       = {911-918},
  year	       = {2000},
  pdf	       = {papers/2000/SmoSch00.pdf},
  postscript   = {papers/2000/SmoSch00.ps.gz}
}

@InProceedings{SmoShaSchWil00,
  author       = {A. J. Smola and J. Shawe-Taylor and B. Sch\"{o}lkopf
                  and R. C. Williamson},
  title	       = {The Entropy Regularization Information Criterion},
  booktitle    = {Advances in Neural Information Processing Systems
                  12},
  pages	       = {342-348},
  year	       = {2000},
  editor       = {S. A. Solla and T. K. Leen and K.-R. M{\"u}ller},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pdf	       = {papers/2000/SmoShaSchWil00.pdf},
  postscript   = {papers/2000/SmoShaSchWil00.ps.gz}
}

@InProceedings{WilSmoSch00,
  author       = {R. C. Williamson and A. J. Smola and
                  B. Sch\"{o}lkopf},
  title	       = {Entropy numbers of linear function classes},
  booktitle    = {Proceedings of the Annual Conference on
                  Computational Learning Theory},
  editor       = {N. Cesa-Bianchi and S. Goldman},
  pages	       = {309-319},
  publisher    = {Morgan Kaufmann Publishers},
  address      = {San Francisco},
  year	       = {2000},
  pdf	       = {papers/2000/WilSmoSch00.pdf},
  postscript   = {papers/2000/WilSmoSch00.ps.gz}
}

@Article{SchPlaShaSmoetal01,
  author       = {B. Sch\"{o}lkopf and J. Platt and J. Shawe-Taylor
                  and A. J. Smola and R. C. Williamson},
  title	       = {Estimating the support of a high-dimensional
                  distribution},
  journal      = {Neural Computation},
  volume       = {13},
  number       = {7},
  year	       = {2001},
  pdf	       = {papers/2001/SchPlaShaSmoetal01.pdf}
}

@Article{WilSmoSch01,
  author       = {R. C. Williamson and A. J. Smola and
                  B. Sch\"{o}lkopf},
  title	       = {Generalization bounds for regularization networks
                  and support vector machines via entropy numbers of
                  compact operators},
  journal      = {IEEE Transaction on Information Theory},
  year	       = {2001},
  volume       = 47,
  number       = 6,
  pages	       = {2516-2532},
  pdf	       = {papers/2001/WilSmoSch01.pdf}
}

@Article{SmoMikSchWil01,
  author       = {A. J. Smola and S. Mika and B. Sch\"{o}lkopf and
                  R. C. Williamson},
  title	       = {Regularized principal manifolds},
  journal      = {Journal of Machine Learning},
  url	       = {http://www.jmlr.org},
  volume       = 1,
  pages	       = {179-209},
  year	       = {2001},
  pdf	       = {papers/2001/SmoMikSchWil01.pdf}
}

@InProceedings{SchHerSmo01,
  author       = {B. Sch\"{o}lkopf and R. Herbrich and A. J. Smola},
  title	       = {A Generalized Representer Theorem},
  booktitle    = {Proceedings of the Annual Conference on
                  Computational Learning Theory},
  year	       = {2001},
  pages	       = {416-426},
  pdf	       = {papers/2001/SchHerSmo01.pdf},
}

@InProceedings{MikSmoSch01,
  author       = {S. Mika and A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {An improved training algorithm for kernel Fisher
                  discriminants},
  booktitle    = {Artificial Intelligence and Statistics},
  editor       = {T. Jaakkola and T. Richardson},
  address      = {San Francisco, CA},
  publisher    = {Morgan Kaufmann Publishers},
  note	       = {Also: Microsoft Research TR-2000-77},
  pages	       = {98-104},
  year	       = {2001},
  pdf	       = {papers/2001/MikSmoSch01.pdf}
}

@InProceedings{SmoBar01,
  author       = {A. J. Smola and P. L. Bartlett},
  title	       = {Sparse Greedy Gaussian Process Regression},
  booktitle    = {Advances in Neural Information Processing Systems
                  13},
  publisher    = {MIT Press},
  year	       = {2001},
  editor       = {T. K. Leen and T. G. Dietterich and V. Tresp},
  pages	       = {619-625},
  pdf	       = {papers/2001/SmoBar01.pdf},
  postscript   = {papers/2001/SmoBar01.ps.gz}
}

@InProceedings{SmoOvaWil01,
  author       = {A. J. Smola and Z. L. Ovari and
                  R. C. Williamson},
  title	       = {Regularization with dot-product kernels},
  booktitle    = {Advances in Neural Information Processing Systems
                  13},
  year	       = {2001},
  publisher    = {MIT Press},
  editor       = {T. K. Leen and T. G. Dietterich and V. Tresp},
  pages	       = {308-314},
  pdf	       = {papers/2001/SmoOvaWil01.pdf},
  postscript   = {papers/2001/SmoOvaWil01.ps.gz}
}

@InCollection{SchSmo02b,
  author       = {B. Sch\"{o}lkopf and A. J. Smola},
  booktitle    = {The Handbook of Brain Theory and Neural Networks},
  title	       = {Support Vector Machines and Kernel Algorithms},
  publisher    = {MIT Press},
  year	       = {2002},
  editor       = {M. A. Arbib},
  pdf	       = {papers/2002/SchSmo02b.pdf},
  pages	       = {1119-1125}
}

@Article{FunManSmo02,
  author       = {G. Fung and O. L. Mangasarian and A. J. Smola},
  title	       = {Minimal Kernel Classifiers},
  journal      = {Journal of Machine Learning Research},
  year	       = {2002},
  pages	       = {303-321},
  volume       = {3},
  pdf	       = {papers/2002/FunManSmo02.pdf}
}

@InProceedings{KivSmoWil02,
  booktitle    = {Algorithmic Learning Theory, 13th International
                  Conference, ALT 2002, L{\"u}beck, Germany},
  title	       = {Large Margin Classification for Moving Targets},
  author       = {J. Kivinen and A. J. Smola and R. C. Williamson},
  series       = {Lecture Notes in Artificial Intelligence},
  volume       = {2533},
  publisher    = {Springer},
  year	       = {2002},
  pages	       = {113--127},
  pdf	       = {papers/2002/KivSmoWil02.pdf}
}

@InProceedings{OngSmoWil02,
  author       = {C. S. Ong and A. J. Smola and R. C. Williamson},
  title	       = {Hyperkernels},
  booktitle    = {Neural Information Processing Systems},
  year	       = {2002},
  volume       = {15},
  publisher    = {MIT Press},
  pdf	       = {papers/2002/OngSmoWil02.pdf},
  postscript   = {papers/2002/OngSmoWil02.ps.gz}
}

@InProceedings{GaeFlaSmoKow02,
  author       = {T. G\"{a}rtner and P. A. Flach and A. Kowalczyk and
                  A. J. Smola},
  title	       = {Multi-Instance Kernels},
  booktitle    = {Proceedings of the 19th International Conference on
                  Machine Learning ICML},
  year	       = {2002},
  pages	       = {179-186},
  pdf	       = {papers/2002/GaeFlaSmoKow02.pdf},
}

@InProceedings{KivSmoWil02b,
  author       = {J. Kivinen and A. J. Smola and R. C. Williamson},
  title	       = {Large Margin Classification for Drifting Targets},
  booktitle    = {Neural Information Processing Systems},
  year	       = {2002},
  pdf	       = {papers/2002/KivSmoWil02b.pdf},
  postscript   = {papers/2002/KivSmoWil02b.ps.gz}
}

@InProceedings{KowSmoWil02,
  author       = {A. Kowalczyk and A. J. Smola and R. C. Williamson},
  title	       = {Kernel Machines and Boolean Functions},
  booktitle    = {Neural Information Processing Systems},
  year	       = {2002},
  pdf	       = {papers/2002/KowSmoWil02.pdf},
  postscript   = {papers/2002/KowSmoWil02.ps.gz}
}

@InProceedings{RatMikSmo02,
  author       = {G. R\"{a}tsch and A. J.  Smola and S. Mika},
  title	       = {Adapting Codes and Embeddings for Polychotomies},
  booktitle    = {Neural Information Processing Systems},
  year	       = {2002},
  volume       = {15},
  publisher    = {MIT Press},
  pdf	       = {papers/2002/RatSmoMik02.pdf},
  postscript   = {papers/2002/RatSmoMik02.ps.gz}
}

@InProceedings{VisSmo02a,
  author       = {S.V.N. Vishwanathan and A. J. Smola},
  title	       = {Fast Kernels on Strings and Trees},
  booktitle    = {Proceedings of Neural Information Processing Systems
                  2002},
  year	       = {2002},
  pdf	       = {papers/2002/VisSmo02a.pdf},
  postscript   = {papers/2002/VisSmo02a.ps.gz}
}

@InProceedings{SmoSch03,
  author       = {A. J. Smola and B. Sch\"{o}lkopf},
  booktitle    = {Machine Learning, Proceedings of the Summer School,
                  Australian National University},
  title	       = {Bayesian Kernel Methods},
  publisher    = {Springer},
  year	       = {2003},
  pages	       = {65-117},
  editor       = {S. Mendelson and A. J. Smola},
  pdf	       = {papers/2003/SmoSch03.pdf}
}

@InProceedings{SchSmo03c,
  author       = {B. Sch\"{o}lkopf and A. J. Smola},
  booktitle    = {Machine Learning, Proceedings of the Summer School,
                  Australian National University},
  title	       = {A Short Introduction to Learning with Kernels},
  publisher    = {Springer},
  year	       = {2003},
  pages	       = {41-64},
  editor       = {S. Mendelson and A. J. Smola},
  pdf	       = {papers/2003/SchSmo03c.pdf},
}

@InProceedings{SchSmo03b,
  author       = {B. Sch\"{o}lkopf and A. J. Smola},
  booktitle    = {Encyclopedia of Biostatistics},
  title	       = {Support Vector Machines and Kernel Algorithms},
  publisher    = {John Wiley and Sons},
  year	       = {2003},
  editor       = {P. Armitage and T. Colton},
  pdf	       = {papers/2003/SchSmo03b.pdf},
  postscript   = {papers/2003/SchSmo03b.ps.gz},
  note	       = {in press}
}

@Article{ChaSchSmo03,
  author       = {A. Chalimourda and B. Sch\"{o}lkopf and A. J. Smola},
  title	       = {Choosing $\nu$ in support vector regression with
                  different noise models---theory and experiments},
  journal      = {Neural Networks},
  year	       = {2003},
  pdf	       = {papers/2003/ChaSchSmo03.pdf}
}

@Article{GraSmoBor03,
  author       = {A.B. Graf and A. J.  Smola and S. Borer},
  title	       = {Classification in a Normalized Feature Space using
                  Support Vector Machines},
  journal      = {IEEE Transactions on Neural Networks},
  year	       = {2003},
  volume       = {14},
  number       = {3},
  pages	       = {597-605},
  pdf	       = {papers/2003/GraSmoBor03.pdf}
}

@Article{MikRatWesSchetal03,
  author       = {S. Mika and G. R\"{a}tsch and J. Weston and
                  B. Sch\"{o}lkopf and A. J. Smola and
                  K.-R. M\"{u}ller},
  title	       = {Learning discriminative and invariant nonlinear
                  features},
  journal      = {IEEE Transactions on Pattern Analysis and Machine
                  Intelligence},
  year	       = {2003},
  volume       = {25},
  number       = {5},
  pages	       = {623-628},
  pdf	       = {papers/2003/MikRatWesSchetal03.pdf}
}

@Article{SmoSch03b,
  author       = {A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {A Tutorial on Support Vector Regression},
  journal      = {Statistics and Computing},
  note	       = {in press},
  year	       = {2003},
  pdf	       = {papers/2003/SmoSch03b.pdf},
  postscript   = {papers/2003/SmoSch03b.ps.gz}
}

@InProceedings{SmoVisEsk03,
  author       = {E. Eskin and A. J. Smola and S.V.N. Vishwanathan},
  title	       = {Laplace Propagation},
  booktitle    = {Neural Information Processing Systems},
  year	       = 2003,
  series       = 16,
  publisher    = {MIT Press},
  pdf	       = {papers/2003/SmoVisEsk03.pdf},
  note	       = {forthcoming}
}

@InProceedings{OngSmo03,
  author       = {C. S. Ong and A. J. Smola},
  title	       = {Machine Learning using Hyperkernels},
  booktitle    = {Proceedings of the International Conference on
                  Machine Learning},
  year	       = {2003},
  pdf	       = {papers/2003/OngSmo03.pdf}
}

@InProceedings{VisMurSmo03,
  author       = {S.V.N. Vishwanathan and M. N. Murty and A. J. Smola},
  title	       = {SSVM: A Simple SVM Algorithm},
  booktitle    = {Proceedings of the International Conference on
                  Machine Learning},
  year	       = {2003},
  pdf	       = {papers/2003/VisMurSmo03.pdf},
  postscript   = {papers/2003/VisMurSmo03.ps.gz}
}

@InProceedings{SmoKon03,
  author       = {A. J.  Smola and I.R. Kondor},
  title	       = {Kernels and Regularization on Graphs},
  booktitle    = {Proceedings of the Annual Conference on
                  Computational Learning Theory},
  year	       = {2003},
  editor       = {B. Sch\"{o}lkopf and M. Warmuth},
  series       = {Lecture Notes in Computer Science},
  publisher    = {Springer},
  pdf	       = {papers/2003/SmoKon03.pdf},
  postscript   = {papers/2003/SmoKon03.ps.gz}
}

@InProceedings{SmoVis03a,
  author       = {A. J.  Smola and S.V.N. Vishwanathan},
  title	       = {Hilbert space embeddings in dynamical systems},
  booktitle    = {Proceedings of the $13$th IFAC symposium on system
                  identification},
  year	       = {2003},
  month	       = {August},
  organization = {IFAC},
  pdf	       = {papers/2003/SmoVis03a.pdf},
  postscript   = {papers/2003/SmoVis03a.ps.gz}
}

@InProceedings{VisSmo04,
  author       = {S.V.N. Vishwanathan and A. J. Smola},
  title	       = {Fast Kernels for String and Tree Matching},
  publisher    = {MIT Press},
  year	       = {2003},
  booktitle    = {Kernels and Bioinformatics},
  editor       = {K. Tsuda and B. Sch\"{o}lkopf and J.P. Vert},
  address      = {Cambridge, MA},
  ps	       = {papers/2003/VisSmo04.ps.gz},
  pdf	       = {papers/2003/VisSmo04.pdf},
}

@Article{KivSmoWil04,
  author       = {J. Kivinen and A. J. Smola and R. C. Williamson},
  title	       = {Online Learning with Kernels},
  journal      = {IEEE Transactions on Signal Processing},
  volume       = {52},
  number       = {8},
  month	       = {Aug},
  pdf	       = {papers/2004/KivSmoWil04.pdf},
  year	       = {2004}
}

@InProceedings{LooCanVisetal04,
  author       = {G. Loosli and S. Canu and S.V.N. Vishwanathan and
                  A. J. Smola and M. Chattopadhy},
  title	       = {Une boite a outils rapide et simple pour les SVM},
  booktitle    = {Conference d'Apprentissage},
  pages	       = {113-128},
  year	       = 2004,
  pdf	       = {papers/2004/LooCanVisetal04.pdf}
}

@InProceedings{AltSmoHof04,
  author       = {Y. Altun and T. Hofmann and A. J.  Smola},
  title	       = {Exponential Families for Conditional Random Fields},
  booktitle    = {Uncertainty in Artificial Intelligence UAI},
  year	       = 2004,
  pdf	       = {papers/2004/AltSmoHof04.pdf},
  ps	       = {papers/2004/AltSmoHof04.ps.gz}
}

@InProceedings{AltHofSmo04,
  author       = {Y. Altun and T. Hofmann and A. J.  Smola},
  title	       = {Gaussian Process Classification for Segmenting and
                  Annotating Sequences},
  booktitle    = {International Conference on Machine Learning ICML},
  year	       = 2004,
  pdf	       = {papers/2004/AltHofSmo04.pdf}
}

@InProceedings{OngMarCanSmo04,
  author       = {C. Soon-Ong and X. Mary and S. Canu and A. J.  Smola},
  title	       = {Learning with Non-Positive Kernels},
  booktitle    = {International Conference on Machine Learning ICML},
  year	       = 2004,
  pdf	       = {papers/2004/OngMarCanSmo04.pdf},
}

@Article{SmoSch04,
  author       = {A. J. Smola and B. Sch\"{o}lkopf},
  title	       = {A Tutorial on Support Vector Regression},
  journal      = {Statistics and Computing},
  year	       = {2004},
  pages	       = {199-222},
  volume       = {14},
  pdf	       = {papers/2004/SmoSch04.pdf}
}

@InProceedings{VisSmo04b,
  author       = {S.V.N. Vishwanathan and A. J. Smola},
  title	       = {Binet-Cauchy Kernels},
  booktitle    = {Proceedings of Neural Information Processing Systems
                  NIPS'04},
  year	       = {2004},
  ps	       = {papers/2004/VisSmo04b.ps.gz},
  pdf	       = {papers/2004/VisSmo04b.pdf}
}

@inproceedings{KarVisSchSmo05,
     author = {A. Karatzoglou and S.V.N. Vishwanathan
               and N. N. Schraudolph and A. J. Smola},
     title = {Step Size-Adapted Online Support Vector Learning},
  booktitle = {Proc. 8th Intl. Symp. Signal Processing \& Applications},
  publisher = IEEE,
       year =  2005,
        pdf = {papers/2005/KarVisSchSmo05.pdf},
   abstract = {
    We present an online Support Vector Machine (SVM) that uses Stochastic
    Meta-Descent (SMD) to adapt its step size automatically. We formulate
    the online learning problem as a stochastic gradient descent in
    Reproducing Kernel Hilbert Space (RKHS) and translate SMD to the
    nonparametric setting, where its gradient trace parameter is no
    longer a coefficient vector but an element of the RKHS. We derive
    efficient updates that allow us to perform the step size adaptation
    in linear time. We apply the online SVM framework to a variety of
    loss functions and in particular show how to achieve efficient online
    multiclass classification. Experimental evidence suggests that our
    algorithm outperforms existing methods.
}}

@InProceedings{SmoVisHof05,
  author       = {A. J. Smola and S.V.N. Vishwanathan and T. Hofmann},
  booktitle    = {Artificial Intelligence and Statistics AISTATS'05},
  title	       = {Kernel Methods for Missing Variables},
  year	       = {2005},
  editor       = {Z. Ghahramani and R. Cowell},
  ps	       = {papers/2005/SmoVisHof05.ps.gz},
  pdf	       = {papers/2005/SmoVisHof05.pdf},
}

@InProceedings{GreSmoBouetal05,
  author       = {A. Gretton and A. J. Smola and O. Bousquet and
                  R. Herbrich and A. Belitski and M. Augath and
                  Y. Murayama and J. Pauls and B. Sch\"{o}lkopf and
                  N. Logothetis},
  booktitle    = {Artificial Intelligence and Statistics AISTATS'05},
  title	       = {Kernel Constrained Covariance for Dependence
                  Measurement},
  year	       = {2005},
  editor       = {Z. Ghahramani and R. Cowell},
  pdf	       = {papers/2005/GreSmoBouetal05.pdf}
}

@article{GreHerSmoBouSch05,
  author       = {A. Gretton and R. Herbrich and A. J. Smola and
                  O. Bousquet and B. Sch\"{o}lkopf},
  title	       = {Kernel Methods for Measuring Independence},
  volume       = {6},
  pages	       = {1-47},
  year	       = {2005},
  journal      = {Journal of Machine Learning Research},
  pdf	       = {papers/2005/GreHerSmoBouSch05.pdf},
  postscript   = {papers/2005/GreHerSmoBouSch05.ps.gz},
}

@Article{VisBorGutSmo05,
  author       = {S.V.N. Vishwanathan and K. M. Borgwardt and
                  O. Guttman and A. J. Smola},
  title	       = {Kernel Extrapolation},
  journal      = {Neurocomputing},
  year	       = 2005,
  note	       = {forthcoming},
  pdf	       = {papers/2005/VisBorGutSmo05.pdf},
  postscript   = {papers/2005/VisBorGutSmo05.ps.gz}
}

@incollection{BhaPanSmo04,
  author       = {C. Bhattacharyya and K. S. Pannagadatta and
                  A. J.  Smola},
  title	       = {A Second Order Cone programming Formulation for
                  Classifying Missing Data},
  booktitle    = {Advances in Neural Information Processing Systems
                  17},
  editor       = {L.K. Saul and Y. Weiss and L. Bottou},
  publisher    = {MIT Press},
  address      = {Cambridge, MA},
  pages	       = {153-160},
  year	       = {2005},
  pdf	       = {papers/2005/BhaPanSmo04.pdf},
  postscript   = {papers/2005/BhaPanSmo04.ps.gz},
}

@Article{CanSmo05,
  author       = {S. Canu and A. J. Smola},
  title	       = {Kernel methods and the exponential family},
  journal      = {Neurocomputing},
  year	       = 2005,
  note	       = {in press},
  pdf	       = {papers/2005/CanSmo05.pdf}
}

@Article{OngSmoWil05,
  author       = {C. Soon-Ong and A. J.  Smola and R. C. Williamson},
  title	       = {Learning the kernel with hyperkernels},
  journal      = {Journal of Machine Learning Research},
  year	       = {2005},
  pages	       = {1045--1071},
  volume       = {6},
  pdf	       = {papers/2005/OngSmoWil05.pdf}
}

@InProceedings{GreBouSmoSch05,
  author       = {A. Gretton and O. Bousquet and A. J.  Smola and
                  B. Sch\"{o}lkopf},
  title	       = {Measuring Statistical Dependence with
                  Hilbert-Schmidt Norms},
  booktitle    = {Proceedings Algorithmic Learning Theory},
  year	       = 2005,
  editor       = {S. Jain and W.-S. Lee},
  pdf	       = {papers/2005/GreBouSmoSch05.pdf}
}

@InProceedings{LeSmoCan05,
  author       = {Q. V. Le and A. J.  Smola and S. Canu},
  title	       = {Heteroscedastic Gaussian Process Regression},
  booktitle    = {International Conference on Machine Learning ICML},
  year	       = {2005},
  pdf	       = {papers/2005/LeSmoCan05.pdf},
}

@InProceedings{BorOngSchVisetal05,
  author       = {K. M. Borgwardt and C. S. Ong and S. Sch\"{o}nauer
                  and S.V.N. Vishwanathan and A. J. Smola and
                  H. P. Kriegel},
  title	       = {Protein Function Prediction via Graph Kernels},
  booktitle    = {Proc. of Intelligent Systems in Molecular Biology
                  (ISMB)},
  year	       = {2005},
  address      = {Detroit, USA},
  pdf	       = {papers/2005/BorOngSchVisetal05.pdf},
  postscript   = {papers/2005/BorOngSchVisetal05.ps.gz},
}

@article{VisSchSmo06,
     author = {S.V.N. Vishwanathan and N. N. Schraudolph
               and A. J. Smola},
      title = {Step Size Adaptation in Reproducing Kernel Hilbert Space},
    journal = {Journal of Machine Learning Research},
     volume =  7,
      month = {June},
      pages = {1107--1133},
       year =  2006,
        pdf = {papers/2006/VisSchSmo06.pdf},
 b2hproject = {angie},
   abstract = {
    This paper presents an online Support Vector Machine (SVM) that
    uses the Stochastic Meta-Descent (SMD) algorithm to adapt its
    step size automatically.  We formulate the online learning
    problem as a stochastic gradient descent in Reproducing Kernel
    Hilbert Space (RKHS) and translate SMD to the nonparametric
    setting, where its gradient trace parameter is no longer a
    coefficient vector but an element of the RKHS.  We derive
    efficient updates that allow us to perform the step size
    adaptation in linear time.  We apply the online SVM framework
    to a variety of loss functions, and in particular show how to
    handle structured output spaces and achieve efficient online
    multiclass classification. Experiments show that our algorithm
    outperforms more primitive methods for setting the gradient
    step size.
}}

@InProceedings{GaeLeBuretal06,
  author       = {T. G\"{a}rtner and Q. V. Le and S. Burton and
                  A. J.  Smola and S.V.N. Vishwanathan},
  title        = {Large-Scale Multiclass Transduction},
  booktitle    = {Neural Information Processing Systems},
  year         = 2006,
  publisher    = {MIT Press},
  pages = {411-418},
  pdf          = {papers/2006/GaeLeBuretal06.pdf},
  postscript   = {papers/2006/GaeLeBuretal06.ps.gz},
}

@Article{TakLeSeaSmo06,
  author = 	 {I. Takeuchi and Q. V. Le and T. D. Sears and A. J.  Smola},
  title = 	 {Nonparametric Quantile Regression},
  journal = 	 {Journal of Machine Learning Research},
  year = 	 2006,
  volume = 	 7,
  pages = 	 {1231-1264},
  pdf = {papers/2006/TakLeSeaSmo06.pdf}
}

@InProceedings{BorGreRasKriSchSmo06,
  author       = {K. M. Borgwardt and A. Gretton and M. J. Rasch and
                  H. P. Kriegel and B. Sch\"{o}lkopf and A. J.  Smola},
  title        = {Integrating structured biological data by Kernel
                  Maximum Mean Discrepancy},
  booktitle    = {Proc. of Intelligent Systems in Molecular Biology
                  (ISMB)},
  year         = {2006},
  pages = {e49-e57},
  address      = {Fortaleza, Brazil},
  pdf          = {papers/2006/Boretal06.pdf},
  ee        = {http://dx.doi.org/doi:10.1093/bioinformatics/btl242},
}

@INPROCEEDINGS{LeGaeSmo06,
  author       = {Q. V. Le and A. J. Smola and T. G\"{a}rtner },
  title        = {Simpler Knowledge-based Support Vector Machines},
  year         = {2006},
  booktitle    = {International Conference on Machine Learning},
  pdf          = {papers/2006/LeGaeSmo06.pdf},
  pages = {521-528},
  url = {http://doi.acm.org/10.1145/1143844.1143910},
}

@INPROCEEDINGS{McACaeSmoFra06,
  author       = {J. McAuley and T. S. Caetano and A. J.  Smola and
                  M. Franz},
  title        = {Learning High-Order MRF Priors of Color Images},
  year         = {2006},
  booktitle    = {International Conference on Machine Learning},
  pdf          = {papers/2006/McACaeSmoFra06.pdf},
  url = {http://doi.acm.org/10.1145/1143844.1143922},
  pages = {617-624},
}

@InProceedings{AltSmo06,
  author       = {Y. Altun and A. J.  Smola},
  title        = {Unifying Divergence Minimization and Statistical
                  Inference via Convex Duality},
  booktitle    = {19th Annual Conference on Computational Learning
                  Theory (COLT)},
  year         = 2006,
  editor       = {H.U. Simon and G. Lugosi},
  series       = {LNCS},
  pages        = {139-153},
  ee        = {http://dx.doi.org/10.1007/11776420_13},
  publisher    = {Springer},
  pdf          = {papers/2006/AltSmo06.pdf}
}

@Article{VisSmoVid06,
  author       = {S.V.N. Vishwanathan and A. J.  Smola and R. Vidal},
  title        = {Binet-Cauchy Kernels on Dynamical Systems and its
                  Application to the Analysis of Dynamic Scenes},
  journal      = {International Journal of Computer Vision},
  year         = 2006,
  note         = {forthcoming},
  pdf          = {papers/2006/VisSmoVid06.pdf}
}

@InProceedings{LeSmoGaeAlt06,
  author = 	 {Q. V. Le and A. J.  Smola and T. G\"{a}rtner and Y. Altun},
  title = 	 {Transductive Gaussian Process Regression with Automatic Model Selection},
  booktitle = {European Conference of Machine Learning},
  year = 	 2006,
  volume = 	 4212,
  series = 	 {LNAI},
  publisher = {306-317},
  editor = {J. F\"{u}rnkranz and T. Scheffer and M. Spiliopoulou},
  note = 	 {ECML Best paper award},
  pdf          = {papers/2006/LeSmoGaeAlt06.pdf},
  b2hproject = {sml}
}

@article{PanBhaSmo06,
     author = {K. S. Pannagadatta and C. Bhattacharyya and A. J. Smola},
      title = {Second Order Cone Programming Approaches for Handling Missing and Uncertain Data},
    journal = {Journal of Machine Learning Research},
     volume =  7,
      month = {July},
      pages = {1283--1314},
       year =  2006,
        pdf = {papers/2006/PanBhaSmo06.pdf},
 b2hproject = {sml}
}

@inproceedings{SheHueSmo06,
  author    = {H. Shen and K. H{\"u}per and A. J.  Smola},
  title     = {Newton-Like Methods for Nonparametric Independent Component
               Analysis},
  booktitle = {ICONIP},
  year      = {2006},
  pages     = {1068-1077},
  url        = {http://dx.doi.org/10.1007/11893028_119},
  pdf = {papers/2006/SheHueSmo06.pdf},
  b2hproject = {sml}
}

@InCollection{GaeHorLeSmo06,
  author = 	 {T. G\"{a}rtner and T. Horvath and Q. V. Le and A. J.  Smola},
  title = 	 {Kernel Methods for Graphs},
  booktitle = 	 {Mining Graph Data},
  publisher = {J. Wiley and Sons},
  year = 	 2006,
  editor = 	 {D.J. Cook and L.B. Holder},
}

@InCollection{AltSmo07,
  author = 	 {Y. Altun and A. J.  Smola},
  title = 	 {Density estimation of Structured Outputs in RKHS},
  booktitle = 	 {Machine Learning with Structured Outputs},
  publisher = {MIT Press},
  year = 	 2007,
  editor = 	 {G. Bakir and T. Hofmann and B. Sch\"{o}lkopf and 
                  A. J.  Smola and B. Taskar and S.V.N. Vishwanathan},
  b2hproject = {sml}
}

@incollection{GreBorRasSchSmo07,
 title = {A Kernel Method for the Two-Sample-Problem},
 author = {A. Gretton and K. M. Borgwardt and M. J. Rasch and
                  B. Sch\"{o}lkopf and A. J. Smola},  
 booktitle = {Advances in Neural Information Processing Systems 19},
 editor = {B. Sch\"{o}lkopf and J. Platt and T. Hoffman},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 pages = {513--520},
 year = {2007},
 pdf = {papers/2007/GreBorRasSchSmo07.pdf}
}

@incollection{HuaSmoGreBorSch07,
 title = {Correcting Sample Selection Bias by Unlabeled Data},
 author = {J. Huang and A. J. Smola and A. Gretton and
                  K. M. Borgwardt and B. Sch\"{o}lkopf}, 
 booktitle = {Advances in Neural Information Processing Systems 19},
 editor = {B. Sch\"{o}lkopf and J. Platt and T. Hoffman},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 pages = {601--608},
 year = {2007},
 pdf = {papers/2007/HuaSmoGreBorSch07.pdf}
}

@incollection{GreBorRasSchSmo07b,
 title = {A Kernel Method to Comparing Distributions},
 author = {A. Gretton and K. M. Borgwardt and M. J. Rasch and
                  B. Sch\"{o}lkopf and A. J. Smola},  
 booktitle = {Proceedings of the 22nd AAAI Conference on Artificial
                  Intelligence}, 
 editor = {R. Holte and A. Howe},
 note = {Nectar track},
 publisher = {AAAI Press},
 pages = {1637-1641},
 year = {2007},
 pdf = {papers/2007/GreBorRasSchSmo07b.pdf}
}

@InProceedings{SonSmoGreetal07a,
    author = {L. Song and A. J. Smola and A. Gretton and K. M. Borgwardt},
    title = {A dependence maximization view of clustering},
  booktitle = {International Conference on Machine Learning},
  year =     2007,
  editor = {C. Sammut and Z. Ghahramani},
  pdf = {papers/2007/SonSmoGreetal07a.pdf}
}

@InProceedings{SonSmoGreetal07,
  author =   {L. Song and A. J. Smola and A. Gretton and K. M. Borgwardt and J. Bedo},
  title =    {Supervised Feature Selection via Dependence Estimation},
  booktitle = {International Conference on Machine Learning},
  year =     2007,
  editor = {C. Sammut and Z. Ghahramani},
  pdf = {papers/2007/SonSmoGreetal07.pdf}
}

@InProceedings{SonBedBorGreSmo07,
  author =   {L. Song and J. Bedo and K. M. Borgwardt and A. Gretton and A. J. Smola},
  title =    {Gene Selection via the BAHSIC Family of Algorithms},
  booktitle = {Bioinformatics (ISMB)},
  year =     2007,
note = {To appear},
  pdf = {papers/2007/SonBedBorGreSmo07.pdf}
}

@InProceedings{TeoLeSmoVis07,
  author       = {C. H. Teo and Q. V. Le and A. J. Smola and S.V.N. Vishwanathan},
  title        = {A Scalable Modular Convex Solver for Regularized Risk
                  Minimization},
  booktitle = {Knowledge Discovery and Data Mining KDD'07},
  year      = 2007,
  pdf = {papers/2007/TeoLeSmoVis07.pdf}
}

@Article{HofSchSmo08,
  author       = {T. Hofmann and B. Sch\"{o}lkopf and A. J. Smola},
  title        = {Kernel methods in machine learning},
  journal      = {Annals of Statistics}, 
  year         = {2008},
  volume       = {36},
  number       = {3},
  pages        = {1171-1220},
  pdf = {papers/2008/HofSchSmo08.pdf},
  url       = {http://arxiv.org/abs/math/0701907},
}

@InProceedings{CaeCheLeSmo07,
  author = 	 {T. S. Caetano and L. Cheng and Q. V. Le and A. J. Smola},
  title = 	 {Learning Graph Matching},
  booktitle = {International Conference on Computer Vision},
  year = 	 2007,
  pdf = {papers/2007/CaeCheLeSmo07.pdf},
}

@InProceedings{ShiAltSmoVis07,
  author    = {Shi, Q.  and  Altun, Y.  and  Smola, A. J. and  Vishwanathan, S.V.N.},
  title     = {Semi-Markov Models for Sequence Segmentation},
  booktitle = {Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)},
  pages     = {640--648},
  url       = {http://www.aclweb.org/anthology/D/D07/D07-1067},
  pdf = {papers/2007/ShiAltSmoVis07.pdf},
  year = 2007
}

@InProceedings{SmoGreSonSch07,
  author = 	 {A. J.  Smola and A. Gretton and L. Song and B. Sch\"{o}lkopf},
  title = 	 {A Hilbert Space Embedding for Distributions},
  booktitle = {Algorithmic Learning Theory},
  year = 	 2007,
  editor = 	 {E.\ Takimoto},
  series = 	 {Lecture Notes on Computer Science},
  publisher = {Springer},
  note = 	 {Invited paper},
  pdf = {papers/2007/SmoGreSonSch07.pdf}
}

@incollection{GreFukTeoSonSchSmo08,
 title = {A Kernel Statistical Test of Independence},
 author = {A. Gretton and K. Fukumizu and C.H. Teo and L. Song and
                  B. Sch\"{o}lkopf and A. J. Smola}, 
 booktitle = {Advances in Neural Information Processing Systems 20},
 editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 year = {2008},
 url = {http://books.nips.cc/papers/files/nips20/NIPS2007_0730.pdf}
}

@incollection{SmoVisLe08,
 title = {Bundle Methods for Machine Learning},
 author = {A. J. Smola and S.V.N. Vishwanathan and Q. V. Le},
 booktitle = {Advances in Neural Information Processing Systems 20},
 editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 year = {2008},
 url = {http://books.nips.cc/papers/files/nips20/NIPS2007_0470.pdf}
}

@incollection{SonSmoBorGre08,
 title = {Colored Maximum Variance Unfolding},
 author = {L. Song and A. J. Smola and K. M. Borgwardt and A. Gretton},
 booktitle = {Advances in Neural Information Processing Systems 20},
 editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 year = {2008},
 url = {http://books.nips.cc/papers/files/nips20/NIPS2007_0492.pdf}
}

@incollection{TeoGloRowSmo08,
 title = {Convex Learning with Invariances},
 author = {C. H. Teo and A. Globerson and S. Roweis and A. J. Smola},
 booktitle = {Advances in Neural Information Processing Systems 20},
 editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 year = {2008},
 url = {http://books.nips.cc/papers/files/nips20/NIPS2007_1047.pdf}
}

@incollection{WeiKarLeSmo08,
 title = {COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking },
 author = {M. Weimer and A. Karatzoglou and Q. V. Quoc Le and A. J. Smola},
 booktitle = {Advances in Neural Information Processing Systems 20},
 editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
 publisher = {MIT Press},
 address = {Cambridge, MA},
 year = {2008},
 url = {http://books.nips.cc/papers/files/nips20/NIPS2007_0612.pdf}
}


@INPROCEEDINGS{QuaSmoCaeLe08,
  author       = {N. Quadrianto and A. J. Smola and T. S. Caetano and Q. V. Le},
  title        = {Estimating Labels from Label Proportions},
  year         = {2008},
  booktitle    = {International Conference on Machine Learning},
  pdf          = {papers/2008/QuaSmoCaeLe08.pdf},
}

@INPROCEEDINGS{Songetal08,
  author       = {L. Song and X. Zhang and A. J. Smola and A. Gretton and B. Sch\"{o}lkopf}, 
  title        = {Tailoring Density Estimation via Reproducing Kernel Moment Matching},
  year         = {2008},
  booktitle    = {International Conference on Machine Learning},
  url          = {http://icml2008.cs.helsinki.fi/papers/377.pdf}
}

@InProceedings{ShiWanCheSmo08,
  author = 	 {Q. Shi and L. Wang and L. Cheng and A. J. Smola},
  title = 	 {Discriminative Huan Action Segmentation and
                  Recognition using Semi-Markov Model},
  booktitle = {Computer Vision and Pattern Recognition},
  year = 	 2008,
  pdf = {papers/2008/ShiWanCheSmo08.pdf}
}

@InProceedings{WeiKarSmo08,
  author = 	 {M. Weimer and A. Karatzoglou and A. J. Smola},
  title = 	 {Improving Maximum Margin Matrix Factorization},
  booktitle = {European Conference on Machine Learning},
  year = 	 2008,
  pdf = {papers/2008/WeiKarSmo08.pdf}
}

@InProceedings{ZeiMcCRenSmo08,
  author = 	 {A. El Zein and E. McCreath and A. P. Rendell and
                  A. J. Smola},
  title = 	 {Performance Evaluation of the NVIDIA GeForce 8800
                  GTX GPU for Machine Learning},
  booktitle = {International Conference Computational Science},
  year = 	 2008
}

@InProceedings{Borgwardtetal08,
  author = {K. M. Borgwardt and X. Yan and  M. Thoma and H. Cheng and A. Gretton and  L. Song and A. J. Smola and J. Han and P. Yu and H. P. Kriegel},
  title = {Combining near-optimal feature selection with gSpan},
  booktitle = {Workshop on Mining and Learning with Graphs},
  year = 2008,
  url = {http://www.cis.hut.fi/MLG08/papers/session1/paper9.pdf}
}

@InProceedings{QuaSonSmo09,
  author = {N. Quadrianto and L. Song and A. Smola},
  title = {Kernelized Sorting},
  booktitle = {Advances in Neural Information Processing Systems 22},
  year = 2009,
  pdf = {papers/2009/QuaSonSmo09.pdf}
}

@InProceedings{Zhangetal09,
  author = {X. Zhang and L. Song and A. Gretton and A.J. Smola},
  title = {Kernel Measures of Independence for non-iid Data}, 
  booktitle = {Advances in Neural Information Processing Systems 22},
  year = 2009,
  pdf = {papers/2009/Zhangetal09.pdf}
}

@InProceedings{McACaeSmo09,
  author = {J. McAuley and T. Caetano and A.J. Smola},
  title = {Robust Near-Isometric Matching via Structured Learning of Graphical Models},
  booktitle = {Advances in Neural Information Processing Systems 22},
  year = 2009,
  pdf = {papers/2009/McACaeSmo09.pdf}
}

@InProceedings{Chapelleetal09,
  author = {O. Chapelle and C. Do and Q. Le and A.J. Smola and C.H. Teo},
  title = {Tighter Bounds for Structured Estimation},
  booktitle = {Advances in Neural Information Processing Systems 22},
  year = 2009,
  pdf = {papers/2009/Chapelleetal09.pdf}
}