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Nobody
Olivier Bousquet
Dr.
Position: Research Scientist

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2009
Articles
2008
Articles
2007
Contributions to books
  • J. Weston, GH. Bakir, O. Bousquet, T. Mann, WS. Noble, B. Schölkopf (2007). Joint Kernel Maps In: Predicting Structured Data, (Ed) GH Bakir and T Hofmann and B Schölkopf and AJ Smola and B Taskar and SVN Vishwanathan, MIT Press, Cambridge, MA, USA, 67-84, ISBN: 978-0-262-02617-8
2006
Articles
  • G. Blanchard, O. Bousquet, L. Zwald (2006). Statistical Properties of Kernel Principal Component Analysis Machine Learning, 66, (2-3), 259-294
Conference Papers
  • J. Quinonero Candela, CE. Rasmussen, F. Sinz, O. Bousquet, B. Schölkopf (2006). Evaluating Predictive Uncertainty Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, (Ed) J Quiñonero Candela and I Dagan and B Magnini and F d’Alché-Buc, Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 1-27, ISBN: 978-3-540-33428-6 , First PASCAL Machine Learning Challenges Workshop (MLCW 2005)
2005
Articles
  • S. Boucheron, O. Bousquet, G. Lugosi (2005). Theory of Classification: A Survey of Some Recent Advances ESAIM: Probability and Statistics, 9, 323
  • S. Boucheron, O. Bousquet, G. Lugosi, P. Massart (2005). Moment Inequalities for Functions of Independent Random Variables To appear in Annals of Probability, 33, 514-560
Conference Papers
  • A. Gretton, O. Bousquet, A. Smola, B. Schoelkopf (2005). Measuring Statistical Dependence with Hilbert-Schmidt Norms In: Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734, (Ed) S Jain and H-U Simon and E Tomita, Algorithmic Learning Theory: 16th International Conference, ALT 2005, Springer, Berlin, Germany, 63-78, 16th International Conference ALT 2005
  • M. Hein, O. Bousquet (2005). Hilbertian Metrics and Positive Definite Kernels on Probability Measures In: AISTATS 2005, (Ed) Cowell, R. , Z. Ghahramani, Proceedings of AISTATS 2005, 136-143, ISBN: 0-9727358-1-X, Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005)
  • U. Luxburg, O. Bousquet, M. Belkin (2005). Limits of Spectral Clustering In: Advances in Neural Information Processing Systems 17, (Ed) Saul, L. K., Y. Weiss, L. Bottou, Advances in Neural Information Processing Systems 17: Proceedings of the 2004 Conference, MIT Press, Cambridge, MA, USA, 857-864, ISBN: 0-262-19534-8, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004)
  • J. Weston, B. Schölkopf, O. Bousquet (2005). Joint Kernel Maps In: Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks, (Ed) J Cabestany and A Prieto and F Sandoval, Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System), LNCS 3512, Springer-Verlag, Berlin Heidelberg, Germany, 176-191, IWANN 2005
  • A. Gretton, AJ. Smola, O. Bousquet, R. Herbrich, A. Belitski, M. Augath, Y. Murayama, J. Pauls, B. Schölkopf, NK. Logothetis (2005). Kernel Constrained Covariance for Dependence Measurement In: Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, (Ed) R Cowell, R and Z Ghahramani, AISTATS 2005, MPI for Biological Cybernetics, Spemannstr 38 72076 Tuebingen, 112-119, ISBN: 0-9727358-1-X, AISTATS 2005
Technical Reports
Talks
2004
Proceedings
  • O. Bousquet, U. Luxburg, G. Rätsch (2004). Advanced Lectures on Machine Learning ML Summer Schools 2003, LNAI 3176, Springer, Berlin, Germany, 240, ISBN: 978-3-540-23122-6, ML Summer Schools 2003
Articles
  • F. Perez-Cruz, O. Bousquet (2004). Kernel Methods and their Potential Use in Signal Processing IEEE Signal Processing Magazine, State: accepted
Conference Papers
  • O. Bousquet, O. Chapelle, M. Hein (2004). Measure Based Regularization In: Advances in Neural Information Processing Systems 16, (Ed) Thrun, S., L. Saul, B. Schölkopf, Advances in Neural Information Processing Systems, MIT Press, Cambridge, MA, USA, 1221-1228, ISBN: 0-262-20152-6, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003)
  • H. Hein, TN. Lal, O. Bousquet (2004). Hilbertian Metrics on Probability Measures and their Application in SVM’s (Ed) Rasmussen, C. E., H. H. Bülthoff, M. Giese and B. Schölkopf, Pattern Recognition, Proceedings of th 26th DAGM Symposium, 3175, 270-277, Pattern Recognition, Proceedings of th 26th DAGM Symposium
  • D. Zhou, J. Weston, A. Gretton, O. Bousquet, B. Schölkopf (2004). Ranking on Data Manifolds In: Advances in neural information processing systems 16, (Ed) S Thrun and L Saul and B Schölkopf, Advances in Neural Information Processing Systems, MIT Press, Max Planck Institute for Biological Cybernetics, Cambridge, MA, USA, 169-176, ISBN: 0-262-20152-6, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003)
  • M. Hein, O. Bousquet (2004). Maximal Margin Classification for Metric Spaces (Ed) Schölkopf, B. , M. K. Warmuth, Learning Theory and Kernel Machines, Springer Verlag, MPI for Biological Cybernetics, Heidelberg, Germany, 72-86, 16. Annual Conference on Computational Learning Theory / COLT Kernel 2003
  • D. Zhou, O. Bousquet, TN. Lal, J. Weston, B. Schölkopf (2004). Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, (Ed) S Thrun and LK Saul and B Schölkopf, Advances in Neural Information Processing Systems, MIT Press, Max Planck Institute for Biological Cybernetics, Cambridge, MA, USA, 321-328, ISBN: 0-262-20152-6, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003)
  • J-Y. Audibert, O. Bousquet (2004). PAC-Bayesian Generic Chaining In: Advances in Neural Information Processing Systems 16, (Ed) Thrun, S., L.K. Saul, B. Schölkopf, Advances in Neural Information Processing Systems 16, MIT Press, Cambridge, MA, USA, 1125-1132 , ISBN: 0-262-20152-6, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003)
  • U. Luxburg, O. Bousquet, M. Belkin (2004). On the Convergence of Spectral Clustering on Random Samples: The Normalized Case Proceedings of the 17th Annual Conference on Learning Theory, 457-471, Proceedings of the 17th Annual Conference on Learning Theory
Contributions to books
  • S. Boucheron, G. Lugosi, O. Bousquet (2004). Concentration Inequalities (Ed) Bousquet, O., U. von Luxburg and G. Rätsch, Lecture Notes in Artificial Intelligence 3176, Springer, Heidelberg, Germany, 208-240
  • O. Bousquet, S. Boucheron, G. Lugosi (2004). Introduction to Statistical Learning Theory (Ed) Bousquet, O., U. von Luxburg and G. Rätsch, Lecture Notes in Artificial Intelligence 3176, Springer, Heidelberg, Germany, 169-207
Technical Reports
Talks
2003
Articles
  • O. Bousquet (2003). Concentration Inequalities for Sub-Additive Functions Using the Entropy Method (Ed) Giné, E., C. Houdré and D. Nualart, Stochastic Inequalities and Applications, 56, 213-247
Conference Papers
  • O. Bousquet, D. Herrmann (2003). On the Complexity of Learning the Kernel Matrix In: Advances in Neural Information Processing Systems 15, (Ed) Becker, S. , S. Thrun, K. Obermayer, Advances in Neural Information Processing Systems, 15, The MIT Press, Cambridge, MA, USA, 399-406, ISBN: 0-262-02550-7, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002)
  • O. Bousquet, F. Perez-Cruz (2003). Kernel Methods and Their Applications to Signal Processing In: Proceedings. (ICASSP ‘03), IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP ‘03), Special Session on Kernel Methods, 860 , ICASSP 2003
  • U. Luxburg, O. Bousquet (2003). Distance-based classification with Lipschitz functions (Ed) Schölkopf, B. and M.K. Warmuth, Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 314-328, Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory
Technical Reports
Talks