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Journals

C. Allčne, J.-Y. Audibert, M. Couprie, R. Keriven, Some links between extremum spanning forests, watersheds and min-cuts, Image and Vision Computing, 2009

J.-Y. Audibert, R. Munos, Cs. Szepesvári, Exploration-exploitation trade-off using variance estimates in multi-armed bandits, Theoretical Computer Science, Vol. 410, p.1876-1902, 2009

J.-Y. Audibert, Fast learning rates in statistical inference through aggregation, Annals of statistics, a note on the VC lower bound, Vol. 37, p.1591-1646, 2009

J.-Y. Audibert, O. Bousquet, Combining PAC-Bayesian and generic chaining bounds, Journal of Machine Learning Research, Vol. 8, p.863-889, 2007

M. Hein, J.-Y. Audibert, U. von Luxburg, Graph Laplacians and their convergence on random neighborhood graphs, Journal of Machine Learning Research, Vol. 8, p.1325-1368, 2007

J.-Y. Audibert, A.Tsybakov, Fast learning rates for plug-in classifiers, Long preprint version here, Annals of statistics, Vol. 35, No. 2, p.608-633, April 2007. Slides for the Empirical Processes and Asymptotic Statistics Workshop, 2007

J.-Y. Audibert, Aggregated estimators and empirical complexity for least square regression, Preprint version, Annales de l'Institut Henri Poincare (B) Probability and Statistics, Volume 40, Issue 6, p.685-736, November-December 2004

PhD thesis

J.-Y. Audibert, Théorie Statistique de l’Apprentissage : une approche PAC-Bayésienne, thčse de doctorat de l’Université Paris VI, June 2004, slides

Conferences

A.-L. Chauve, J.-P. Pons, J.-Y. Audibert, R. Keriven, Transductive segmentation of textured meshes, Asian Conference on Computer Vision (ACCV), 2009

J.-Y. Audibert, S. Bubeck, Minimax policies for adversarial and stochastic bandits, 22nd Annual Conference on Learning Theory (COLT), 2009

H. Kong, J.-Y. Audibert, J. Ponce, Vanishing point detection for road detection, conference on Computer Vision and Pattern Recognition (CVPR), 2009

Y. Wang, J.-Y. Audibert, R. Munos, Algorithms for Infinitely Many-Armed Bandits, Supplemental material, Advances in Neural Information Processing Systems 21 (NIPS), 2008

A.-M. Tousch, S. Herbin, J.-Y. Audibert, Semantic Lattices for Multiple Annotation of Images, International Conference on Multimedia Information Retrieval (MIR), 2008

V. Mnih, Cs. Szepesvari, J.-Y. Audibert, Empirical Bernstein stopping, 25th International Conference on Machine Learning (ICML), 2008

O. Duchenne, J.-Y. Audibert, R. Keriven, J. Ponce, F. Ségonne, Segmentation by transduction, conference on Computer Vision and Pattern Recognition (CVPR), 2008

H. Sahbi, P. Etyngier, J.-Y. Audibert and R. Keriven, Manifold Learning using Robust Graph Laplacian for Interactive Image Retrieval, conference on Computer Vision and Pattern Recognition (CVPR), 2008

H. Sahbi, J.-Y. Audibert, J. Rabarisoa and R. Keriven, Context-Dependent Kernel Design for Object Matching and Recognition, conference on Computer Vision and Pattern Recognition (CVPR), 2008

A. Farahmand, C. Szepesvári and J.-Y. Audibert, NIPS 2007 Workshop on Topology learning, Toward Manifold-Adaptive Learning, 2007

J.-Y. Audibert, Progressive mixture rules are deviation suboptimal, Advances in Neural Information Processing Systems 20 (NIPS), 2007, Supplemental material (1,2)

A. Farahmand, Cs. Szepesvári, J.-Y. Audibert, Manifold-adaptive dimension estimation, 24th International Conference on Machine Learning (ICML), 2007

H. Sahbi, J.-Y. Audibert, and R. Keriven, Graph-cut transducers for relevance feedback in content based image retrieval, long version here, 11th International Conference on Computer Vision (ICCV), 2007

J.-Y. Audibert, R. Munos, Cs. Szepesvári, Tuning Bandit Algorithms in Stochastic Environments, 18th International Conference on Algorithmic Learning Theory (ALT), 2007

C. Allčne, J.-Y. Audibert, M. Couprie, J. Cousty, R. Keriven, Some links between min-cuts, optimal spanning forests and watersheds, 8th International Symposium on Mathematical Morphology (ISMM), p.253-264, 2007

J.-Y. Audibert, R. Munos, Cs. Szepesvári, NIPS 2006 Workshop on On-line Trading of Exploration and Exploitation, Use of variance estimation in the multi-armed bandit problem, slides here, 2006

J.-Y. Audibert, A randomized online learning algorithm for better variance control, slides here, long version here. 19th Annual Conference on Learning Theory (COLT), p.392-407, 2006

P. Etyngier, N. Paragios, R. Keriven, Y. Genc, J.-Y. Audibert, Radon space and Adaboost for Pose Estimation, 18th International Conference on Pattern Recognition (ICPR), p.421-424, 2006

M. Hein, J.-Y. Audibert, Intrinsic Dimensionality Estimation of Submanifolds in R^d, 22nd International Conference on Machine Learning (ICML), p.289-296, 2005

M. Hein, J.-Y. Audibert, and U. von Luxburg, From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians, long version here, 18th Annual Conference on Learning Theory (COLT), p.470-485, 2005

J.-Y. Audibert and O. Bousquet, PAC-Bayesian Generic Chaining, Advances in Neural Information Processing Systems 16 (NIPS), 2003

Technical reports

J.-Y. Audibert and O. Catoni, Risk bounds in linear regression through PAC-Bayesian truncation, some related slides (v1,v2) and some introductory slides to the PAC-Bayes bounds and for reading the first chapter of Olivier Catoni's book, 2009

J.-Y. Audibert, No fast exponential deviation inequalities for the progressive mixture rule, CERTIS Technical report 07-35, 2007

H. Sahbi and P. Etyngier and J.-Y. Audibert and R. Keriven, Graph Laplacian for Interactive Image Retrieval, CERTIS Technical report 07-32, 2007

J.-Y. Audibert, R. Munos, Cs. Szepesvári, Variance estimates and exploration function in multi-armed bandit, CERTIS Technical report 07-31, 2007

H. Sahbi, J.-Y. Audibert, and R. Keriven, Graph-cut transducers for relevance feedback in content based image retrieval, long version of the paper accepted to ICCV 2007, CERTIS Technical report 07-30, 2007

O. Duchenne, J.-Y. Audibert, R. Keriven. Transductive segmentation, CERTIS Technical report 06-27, 2006

O. Duchenne, J.-Y. Audibert. Fast interactive segmentation using color and textural information, CERTIS Technical report 06-26, 2006

J.-Y. Audibert, Fast learning rates in statistical inference through aggregation, long version of the one in the Annals of Statistics, CERTIS Technical report 06-20, 2006

M. Hein, J.-Y. Audibert, and U. von Luxburg, Graph Laplacians and their convergence on random neighborhood graphs, 2006

J.-Y. Audibert, A.Tsybakov, Fast learning rates for plug-in estimators under the margin condition , long version of the one in the Annals of Statistics. PMA Eprint 998, 2005

G. Charpiat, J-Y. Audibert, R. Keriven, and O. Faugeras, Diffeomorphic Matching and Image Statistics, CERTIS Technical report 05-05, Ecole Nationale des Ponts et Chaussées, 2005

J.-Y. Audibert, Classification under polynomial entropy and margin assumptions and randomized estimators, PMA Eprint 908, 2004

J.-Y. Audibert, Data-dependent generalization error bounds for (noisy) classification : a PAC-Bayesian approach, PMA Eprint 905, 2004

J.-Y. Audibert, Aggregated estimators and empirical complexity for least square regression, Preprint version of the one in the Annales de l'I.H.P., PMA Eprint 805, Laboratoire de Probabilités et Modčles Aléatoires, Universités Paris 6 and Paris 7, 2003