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Journals

A. Salomon, J.-Y. Audibert, I. El Alaoui, Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem, Journal of Machine Learning Research, 2013

J.-Y. Audibert, O. Catoni, Robust linear least squares regression, Annals of Statistics, 2011

A.-M. Tousch, S. Herbin, J.-Y. Audibert, Semantic hierarchies for image annotation: a survey, Pattern Recognition, 2011

J.-Y. Audibert, S. Bubeck, Regret Bounds and Minimax Policies under Partial Monitoring, Journal of Machine Learning Research, 2010

H. Sahbi, J-Y. Audibert, R. Keriven, Context-Dependent Kernels for Object Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010

H. Kong, J.-Y. Audibert, J. Ponce, General road detection from a single image, IEEE Transactions on Image Processing, 2010

H. Kong, J.-Y. Audibert, J. Ponce, Detecting Abandoned Objects with a Moving Camera, IEEE Transactions on Image Processing, 2010

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, 2009

J.-Y. Audibert, Fast learning rates in statistical inference through aggregation, Annals of Statistics, a note on the VC lower bound, 2009

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

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

J.-Y. Audibert, A. Tsybakov, Fast learning rates for plug-in classifiers, Long preprint version here, Annals of Statistics, 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, 2004

Habilitation thesis

J.-Y. Audibert, PAC-Bayesian aggregation and multi-armed bandits, Université Paris Est, October 2010, slides

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

D. Ok, R. Marlet, J.-Y. Audibert, Efficient and Scalable 4-th order Match Propagation, Asian Conference on Computer Vision (ACCV), 2012

A. Salomon, J.-Y. Audibert, Deviations of Stochastic Bandit Regret, Algorithmic Learning Theory (ALT), 2011

M. Rodriguez, I. Laptev, J. Sivic, J.-Y. Audibert, Density-aware person detection and tracking in crowds, International Conference on Computer Vision (ICCV), 2011

M. Rodriguez, J. Sivic, I. Laptev, J.-Y. Audibert, Data-driven Crowd Analysis in Videos, International Conference on Computer Vision (ICCV), 2011

J.Y. Audibert, S. Bubeck, G. Lugosi, Minimax Policies for Combinatorial Prediction Games, Annual Conference on Learning Theory (COLT), 2011.

J.-Y. Audibert, S. Bubeck, R. Munos, Best Arm Identification in Multi-Armed Bandits, Annual Conference on Learning Theory (COLT), 2010, Supplemental material here

S. Grünewälder, J.-Y. Audibert, M. Opper, J. Shawe-Taylor, Regret bounds for Gaussian process bandit problems, Artificial Intelligence and Statistics (AISTATS), 2010

R. Jenatton, J.-Y. Audibert, F. Bach, Active set algorithm for structured sparsity-inducing norms. NIPS 2009 Workshop on Optimization for Machine Learning, 2009

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, 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, 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, R. Keriven, Context-Dependent Kernel Design for Object Matching and Recognition, conference on Computer Vision and Pattern Recognition (CVPR), 2008

A. Farahmand, C. Szepesvári, 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 (NIPS), 2007, Supplemental material (1,2)

A. Farahmand, Cs. Szepesvári, J.-Y. Audibert, Manifold-adaptive dimension estimation, 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, International Conference on Computer Vision (ICCV), 2007

J.-Y. Audibert, R. Munos, Cs. Szepesvári, Tuning Bandit Algorithms in Stochastic Environments, 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, International Symposium on Mathematical Morphology (ISMM), 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. Annual Conference on Learning Theory (COLT), 2006

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

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

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

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

Book chapter

S. Bubeck, J.-Y. Audibert, R. Munos, Bandit view on noisy optimization, book chapter of Optimization for Machine Learning, MIT press, 2010

Technical reports

J.-Y. Audibert, S. Bubeck and G. Lugosi, Regret in online combinatorial optimization, 2012

A. Salomon, J.-Y. Audibert, I. El Alaoui, Regret lower bounds and extended upper confidence bounds policies in stochastic multi-armed bandit problem, 2012

A.-M. Tousch, S. Herbin, J.-Y. Audibert, Semantic hierarchies for image annotation: a survey, 2010

R. Jenatton, J.-Y. Audibert, F. Bach, Structured variable selection with sparsity-inducing norms, 2009

J.-Y. Audibert, 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, P. Etyngier, J.-Y. Audibert, 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, 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, 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, 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