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Dr. Olivier Bousquet

E-Mail: obousquet[at]gmail.com
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Olivier Bousquet

Position: Research Scientist  Unit: Alumni Schölkopf

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Proceedings (1):

Bousquet O Person, von Luxburg U Person and Rätsch G Person: Advanced Lectures on Machine Learning, ML Summer Schools 2003, 240, Springer, Berlin, Germany, (2004).

978-3-540-23122-6

Articles (21):

Graf ABA Person, Bousquet O Person, Rätsch G Person and Schölkopf B Person (2009) Prototype Classification: Insights from Machine Learning Neural Computation 21(1) 272-300.
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von Luxburg U Person, Belkin M and Bousquet O Person (2008) Consistency of Spectral Clustering Annals of Statistics 36(2) 555-586.
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Bousquet O Person and Schölkopf B Person (2006) Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz Statistical Science 21(3) 337-340.
Blanchard G Person, Bousquet O Person and Zwald L (2006) Statistical Properties of Kernel Principal Component Analysis Machine Learning 66(2-3) 259-294.
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Gretton A Person, Herbrich R , Smola A , Bousquet O Person and Schölkopf B Person (2005) Kernel Methods for Measuring Independence Journal of Machine Learning Research 6 2075-2129.
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Hein M Person, Bousquet O Person and Schölkopf B Person (2005) Maximal Margin Classification for Metric Spaces Journal of Computer and System Sciences 71(3) 333-359.
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Bartlett P , Bousquet O Person and Mendelson S (2005) Local Rademacher Complexities The Annals of Statistics 33(4) 1497-1537.
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Boucheron S , Bousquet O Person, Lugosi G and Massart P (2005) Moment Inequalities for Functions of Independent Random Variables To appear in Annals of Probability 33 514-560.
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Boucheron S , Bousquet O Person and Lugosi G (2005) Theory of Classification: A Survey of Some Recent Advances ESAIM: Probability and Statistics 9 323.
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von Luxburg U Person and Bousquet O Person (2004) Distance-Based Classification with Lipschitz Functions Journal of Machine Learning Research 5 669-695.
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von Luxburg U Person, Bousquet O Person and Schölkopf B Person (2004) A Compression Approach to Support Vector Model Selection The Journal of Machine Learning Research 5 293-323.
Blanchard G Person, Bousquet O Person and Massart P (2004) Statistical Performance of Support Vector Machines .
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Perez-Cruz F and Bousquet O Person (2004) Kernel Methods and their Potential Use in Signal Processing IEEE Signal Processing Magazine (Special issue on Signal Processing for Mining). accepted
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Bousquet O Person (2003) Concentration Inequalities for Sub-Additive Functions Using the Entropy Method Stochastic Inequalities and Applications 56 213-247.
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Weston J Person, Perez-Cruz F , Bousquet O Person, Chapelle O Person, Elisseeff A Person and Schölkopf B Person (2003) Feature selection and transduction for prediction of molecular bioactivity for drug design Bioinformatics 19(6) 764-771.
Bousquet O Person (2003) New Approaches to Statistical Learning Theory Annals of the Institute of Statistical Mathematics 55(2) 371-389.
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Bousquet O Person (2002) A Bennett Concentration Inequality and Its Application to Suprema of Empirical Processes C. R. Acad. Sci. Paris, Ser. I 334 495-500.
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Chapelle O Person, Vapnik V , Bousquet O Person and Mukherjee S (2002) Choosing Multiple Parameters for Support Vector Machines Machine Learning 46(1) 131-159.
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Bousquet O Person and Elisseeff A (2002) Stability and Generalization Journal of Machine Learning Research 2 499-526.
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Bousquet O Person and Warmuth M (2002) Tracking a Small Set of Experts by Mixing Past Posteriors Journal of Machine Learning Research 3 363-396.
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Balakrishnan K , Bousquet O Person and Honavar V (1999) Spatial Learning and Localization in Animals: A Computational Model and Its Implications for Mobile Robots Adaptive Behavior 7(2) 173-216.

Conference papers (21):

Quinonero Candela J Person, Rasmussen CE Person, Sinz F Person, Bousquet O Person and Schölkopf B Person (2006) Evaluating Predictive Uncertainty Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, (Ed) J Quiñonero Candela, I Dagan, B Magnini and F d'Alché-Buc, First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 1-27.
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Gretton A Person, Bousquet O Person, Smola A and Schoelkopf B Person (2005) Measuring Statistical Dependence with Hilbert-Schmidt Norms In: Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734, (Ed) S Jain, H-U Simon and E Tomita, 16th International Conference ALT 2005, Springer, Berlin, Germany, 63-78.
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von Luxburg U Person, Bousquet O Person and Belkin M (2005) Limits of Spectral Clustering In: Advances in Neural Information Processing Systems 17, (Ed) Saul, L. K., Y. Weiss, L. Bottou, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 857-864.
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Hein M Person and Bousquet O Person (2005) Hilbertian Metrics and Positive Definite Kernels on Probability Measures In: AISTATS 2005, (Ed) Cowell, R. , Z. Ghahramani, Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), 136-143.
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Gretton A Person, Smola AJ Person, Bousquet O Person, Herbrich R , Belitski A Person, Augath M Person, Murayama Y Person, Pauls J Person, Schölkopf B Person and Logothetis NK Person (2005) Kernel Constrained Covariance for Dependence Measurement In: Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, (Ed) R R Cowell and Z Ghahramani, AISTATS 2005, 112-119.
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Weston J Person, Schölkopf B Person and Bousquet O Person (2005) Joint Kernel Maps In: Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks, (Ed) J Cabestany, A Prieto and F Sandoval, IWANN 2005, Springer-Verlag, Berlin Heidelberg, Germany, LNCS 3512, 176-191.
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Zhou D Person, Bousquet O Person, Lal TN Person, Weston J Person and Schölkopf B Person (2004) Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, (Ed) S Thrun, LK Saul and B Schölkopf, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 321-328.
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Bousquet O Person, Chapelle O Person and Hein M Person (2004) Measure Based Regularization In: Advances in Neural Information Processing Systems 16, (Ed) Thrun, S., L. Saul, B. Schölkopf, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1221-1228.
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Audibert J-Y and Bousquet O Person (2004) PAC-Bayesian Generic Chaining In: Advances in Neural Information Processing Systems 16, (Ed) Thrun, S., L.K. Saul, B. Schölkopf, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1125-1132.
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Zhou D Person, Weston J Person, Gretton A Person, Bousquet O Person and Schölkopf B Person (2004) Ranking on Data Manifolds In: Advances in neural information processing systems 16, (Ed) S Thrun, L Saul and B Schölkopf, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
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Hein M Person and Bousquet O Person (2004) Maximal Margin Classification for Metric Spaces (Ed) Schölkopf, B. , M. K. Warmuth, 16. Annual Conference on Computational Learning Theory / COLT Kernel 2003, Springer Verlag, Heidelberg, Germany, 72-86.
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Hein H Person, Lal TN Person and Bousquet O Person (2004) Hilbertian Metrics on Probability Measures and their Application in SVM's (Ed) C. E. Rasmussen and B. Schölkopf, Pattern Recognition, Proceedings of th 26th DAGM Symposium, 3175, 270-277.
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von Luxburg U Person, Bousquet O Person and Belkin M (2004) On the Convergence of Spectral Clustering on Random Samples: The Normalized Case Proceedings of the 17th Annual Conference on Learning Theory, 457-471.
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Bousquet O Person and Herrmann D Person (2003) On the Complexity of Learning the Kernel Matrix In: Advances in Neural Information Processing Systems 15, (Ed) Becker, S. , S. Thrun, K. Obermayer, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), The MIT Press, Cambridge, MA, USA, 399-406.
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von Luxburg U Person and Bousquet O Person (2003) Distance-based classification with Lipschitz functions (Ed) B. Schölkopf and M.K. Warmuth, Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 314-328.
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Bousquet O Person and Perez-Cruz F (2003) Kernel Methods and Their Applications to Signal Processing In: Proceedings. (ICASSP ‘03), ICASSP 2003, Special Session on Kernel Methods, 860.
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Bartlett P , Bousquet O Person and Mendelson S (2002) Localized Rademacher Complexities Proceedings of the 15th annual conference on Computational Learning Theory, 44-58.
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Bousquet O Person, Koltchinskii V and Panchenko D (2002) Some Local Measures of Complexity of Convex Hulls and Generalization Bounds Proceedings of the 15th annual conference on Computational Learning Theory.
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Bousquet O Person and Elisseeff A (2001) Algorithmic Stability and Generalization Performance In: Advances in Neural Information Processing Systems 13, (Ed) Leen, T.K. , T.G. Dietterich, V. Tresp, Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), MIT Press, Cambridge, MA, USA, 196-202.
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Bousquet O Person and Warmuth M (2001) Tracking a Small Set of Experts by Mixing Past Posteriors Proceedings of the 14th Annual Conference on Computational Learning Theory, Lecture Notes in Computer Science, 2111, 31-47.
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Bousquet O Person, Balakrishnan K and Honavar V (1999) Is the Hippocampus a Kalman Filter? Proceedings of the Pacific Symposium on Biocomputing, 3, 619-630.

Contributions to books (3):

Weston J Person, Bakir GH Person, Bousquet O Person, Mann T , Noble WS and Schölkopf B Person: Joint Kernel Maps, 67-84. In: Predicting Structured Data, (Ed) GH Bakir, T Hofmann, B Schölkopf, AJ Smola, B Taskar and SVN Vishwanathan, MIT Press, Cambridge, MA, USA, (2007).
Boucheron S , Lugosi G and Bousquet O Person: Concentration Inequalities, 208-240. (Ed) O. Bousquet and G. Rätsch, Springer, Heidelberg, Germany, (2004).
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Bousquet O Person, Boucheron S and Lugosi G : Introduction to Statistical Learning Theory, 169-207. (Ed) O. Bousquet and G. Rätsch, Springer, Heidelberg, Germany, (2004).
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Technical reports (12):

Gretton A Person, Bousquet O Person, Smola AJ and Schölkopf B Person: Measuring Statistical Dependence with Hilbert-Schmidt Norms, 140, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2005).
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von Luxburg U Person, Belkin M and Bousquet O Person: Consistency of Spectral Clustering, 134, (2004).
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Weston J Person, Schölkopf B Person, Bousquet O Person, Mann and Noble WS : Joint Kernel Maps, 131, Max-Planck-Institute for Biological Cybernetics, Tübingen, (2004).
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Hein M Person and Bousquet O Person: Hilbertian Metrics and Positive Definite Kernels on Probability Measures, 126, (2004).
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