

Books
 [HDR10] Audibert, J.Y. PACBayesian aggregation and multiarmed bandits. Habilitation à Diriger les Recherches Université ParisEst, Dec 2010. (.bib)
Book Chapters
 [book_chapter] Bubeck, S. and Audibert, J.Y. and Munos, R. Bandit view on noisy optimization. Optimization for Machine Learning, 2010. (.bib)
Journals
 [AOS11] Audibert, J.Y. and Catoni, O. . Annals of Statistics, 2011. (.bib)
 [PR11] Tousch, A.M. and Herbin, S. and Audibert, J.Y. Semantic hierarchies for image annotation: a survey. Pattern Recognition, 2011. (.bib)
 [PAMI10] Sahbi, H. and Audibert, J.Y. and Keriven, R. ContextDependent Kernels for Object Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct 2010. (.bib)
 [JMLR10] Audibert, J.Y. and Bubeck, S. Regret Bounds and Minimax Policies under Partial Monitoring. Journal of Machine Learning Research, Oct 2010. (.bib)
 [TIP10b] Kong, H. and Audibert, J.Y. and Ponce, J. Detecting Abandoned Objects with a Moving Camera. IEEE Transactions on Image Processing, 2010. (.bib)
 [TIP10a] Kong, H. and Audibert, J.Y. and Ponce, J. General road detection from a single image. IEEE Transactions on Image Processing, 2010. (.bib)
 [IMAVIS09] Allène, C. and Audibert, J.Y. and Couprie, M. and Keriven, R Some links between extremum spanning forests, watersheds and mincut. Image and Vision Computing, 2009. (.bib)
 [AoS08] Audibert, J.Y Fast learning rates in statistical inference through aggregation. Annals of Statistics, Jun 2008. (.bib)
 [TCS08] Audibert, J.Y. and Munos, R. and Szepesvári, Cs. Explorationexploitation tradeoff using variance estimates in multiarmed bandits. Theoretical Computer Science, 2008. (.bib)
 [AS06] Audibert, J.Y. and Tsybakov, A. Fast learning rates for plugin classifiers. Annals of Statistics, 35(2), p608633, 2007. (.bib)
 [JMLR07a] Audibert, J.Y and Bousquet, O. Combining PACBayesian and generic chaining bounds . Journal of Machine Learning Research, 8, p863889, 2007. (.bib)
 [JMLR07b] Hein, M. and Audibert, J.Y. and Von Luxburg, U. Graph laplacians and their convergence on random neighborhood graphs. Journal of Machine Learning Research, 8, p13251368, 2007. (.bib)
 [B04] Audibert, J.Y. Aggregated estimators and empirical complexity for least square regression. Annales de l'Institut Henri Poincare (B) Probability and Statistics, 40(6), p685736, Nov 2004. (.bib)
Top Rank Conferences (CVPR, ICCV, ECCV, ICML, COLT, NIPS, IPMI, MICCAI, AAAI, IJCAI)
 [ICCV11b] Rodriguez, M. and Sivic, J. and Laptev, I. and Audibert, J.Y. Datadriven Crowd Analysis in Videos. International Conference on Computer Vision, Barcelona, Spain, 2011. (.bib)
 [ICCV11a] Rodriguez, M. and Laptev, I. and Sivic, J. and Audibert, J.Y. Densityaware person detection and tracking in crowds. International Conference on Computer Vision (ICCV, Barcelona, Spain, 2011. (.bib)
 [ALT11a] Salomon, S. and Audibert, J.Y. Deviations of Stochastic Bandit Regret. Algorithmic Learning Theory, Helsinki, Finlande, 2011. (.bib)
 [COLT11 ] Audibert, J.Y. and Bubeck, S. and Lugosi, G. Minimax policies for combinatorial prediction games. Conference on Learning Theory , Budapest (Hungary), 2011. (.bib)
 [COLT10] Audibert, J.Y. and Bubeck, S. and Munos, R. Best Arm Identification in MultiArmed Bandits. Proceedings of the 23th annual conference on Computational Learning Theory, Haïfa (Israël), Jun 2010. (.bib)
 [COLT09a] Audibert, J.Y. and Bubeck, S. Minimax policies for adversarial and stochastic bandits. 22th annual conference on learning theory, Montreal, Jun 2009. (.bib)
 [CVPR09c] Kong, H. and Audibert, J.Y. and Ponce, J. Vanishing point detection for road detection. Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Jun 2009. (.bib)
 [NIPS08] Wang, Y. and Audibert, J.Y. and Munos, R. Algorithms for Infinitely ManyArmed Bandits. Advances in Neural Information Processing Systems, Vancouver, Canada, Dec 2008. (.bib)
 [ICML08a] Sahbi, H. and Audibert, J.Y. and Rabarisoa, J. and Keriven, R. Robust Matching and Recognition using ContextDependent Kernels. 25th International Conference on Machine Learning (ICML), Helsinki, Finlande, Jul 2008. (.bib)
 [ICML08b] Mnih, V. and Szepesvari, Cs. and Audibert, J.Y. Empirical Bernstein stopping. International Conference on Machine Learning (ICML), Helsinki, Finlande, Jul 2008. (.bib)
 [CVPR08a] Duchenne, O. and Audibert, J.Y. and Keriven, R. and Ponce, J. and Ségonne, F. Segmentation by transduction. Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, Jun 2008. (.bib)
 [CVPR08b] Sahbi, H. and Etyngier, P. and Audibert, J.Y. and Keriven, R. Manifold Learning using Robust Graph Laplacian for Interactive Image Retrieval. Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, Jun 2008. (.bib)
 [CVPR08c] Sahbi, H. and Audibert, J.Y. and Rabarisoa, H. and Keriven, R. ContextDependent Kernel Design for Object Matching and Recognition. Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, Jun 2008. (.bib)
 [NIPS07] Audibert, J.Y. Progressive mixture rules are deviation suboptimal. Advances in Neural Information Processing Systems, Vancouver, Canada, Dec 2007. (.bib)
 [ICCV07d] Sahbi, H. and Audibert, JY. and Keriven, R. Graphcut transducers for relevance feedback in content based image retrieval. the 11th IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil, Oct 2007. (.bib)
 [ICML07] Farahmand, A. and Szepesvári, C. and Audibert, J.Y. Manifoldadaptive dimension estimation. Proceedings of the 24th International conference on Machine Learning, Oregon , USA, Jun 2007. (.bib)
 [COLT06] Audibert, J.Y. A randomized online learning algorithm for better variance control. 19th annual conference on learning theory, Pittsburg, Jun 2006. (.bib)
 [ICML05] Hein, M. and Audibert, J.Y. Intrinsic dimensionality estimation of submanifolds in R^d. 22nd International Conference on Machine Learning, Aug 2005. (.bib)
 [COLT05] Hein, M. and Audibert, J.Y. and Von Luxburg, U. From graphs to manifolds  weak and strong pointwise consistency of graph Laplacians. Conference on Learning Theory, Jun 2005. (.bib)
 [NIPS04] Audibert, J.Y. PACBayesian Generic Chaining. Advances in Neural Information Processing Systems, 2004. (.bib)
Conferences
 [AISTATS10] Grunewalder, S., Audibert, J.Y., Opper, M. and ShaweTaylor, J. Regret bounds for Gaussian process bandit problems. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Chia (Italie), May 2010. (.bib)
 [ACCV09a] Chauve, A.L. and Pons, J.P. and Audibert, J.Y. and Keriven, R. Transductive segmentation of textured meshes. Asian Conference on Computer Vision, Xi’ an, China, Sep 2009. (.bib)
 [MIR08] Tousch, A.M. and Herbin, S., and Audibert, J.Y. Semantic Lattices for Multiple Annotation of Images. ACM International Conference on Multimedia Information Retrieval (MIR), Vancouver, Canada, Oct 2008. (.bib)
 [CBMI08] Sahbi, H. and Audibert, J.Y. and Rabarisoa, J. and Keriven, R. Object Recognition and Retrieval by Context Dependent Similarity Kernels. Sixth International Workshop on ContentBased Multimedia Indexing, London, Jun 2008. (.bib)
 [ICASSP08] Sahbi, H. and Etyngier, P. and Audibert, JY. and Keriven, R. Interactive Image Retrieval. the 33rd International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Apr 2008. (.bib)
 [NIPS07w] Farahmandand, A. and Szepesvari, C. and Audibert, J.Y. Toward ManifoldAdaptive Learning. NIPS Workshop on Topology learning, Whistler, Canada, Dec 2007. (.bib)
 [ALT07] Audibert, J.Y. and Munos, R. and Szepesvari, C. Tuning bandit algorithms in stochastic environments. 18th International Conference on Algorithmic Learning Theory, Japon, Oct 2007. (.bib)
 [ISMM07] Allène, C. and Audibert, J.Y. and Couprie, M.and Cousty, J. and Keriven, R. Some links between mincuts, optimal spanning forests and watersheds. Procs. 8th International Symposium on Mathematical Morphology, Rio de Janeiro, Brazil, Oct 2007. (.bib)
 [NIPS06w] Audibert, J.Y. and Munos, R. and Szepesvari, C. Use of variance estimation in the multiarmed bandit problem. NIPS Workshop on online trading of exploration and exploitation, Vancouver, Dec 2006. (.bib)
 [ICPR06a] Etyngier, P. and Paragios, N. and Keriven, R. and Genc, Y. and Audibert, J.Y. Radon space and Adaboost for Pose Estimation. 18th International Conference on Pattern Recognition, HongKong, Aug 2006. (.bib)
PhD Theses
 [PhD04a] Audibert, J.Y. PACBayesian Statistical Learning Theory. Paris 6, Jul 2004. (.bib)
Research Reports
 [HAL09b] Jenatton, R. and Audibert, J.Y. and Bach, F Structured Variable Selection with SparsityInducing Norms. , Sep 2009. (.bib)
 [HAL09a] Audibert, J.Y. and Catoni, O. Risk bounds in linear regression through PACBayesian truncation. , Feb 2009. (.bib)
 [CERTIS0842] Kong, H. and Audibert, J.Y.and Ponce J. Vanishing point detection for road detection. 0842, Nov 2008. (.bib)
 [TSI0718] Sahbi, H. and Audibert, JY. and Rabarisoa, J. and Keriven, R. ContextDependent Kernel Design for Object Matching and Recognition. TSI 2007D018, Dec 2007. (.bib)
 [CERTIS0732] Sahbi, H. and Etyngier, P. and Audibert, J.Y. and Keriven, R. Graph Laplacian for Interactive Image Retrieval. CERTIS 0732, Apr 2007. (.bib)
 [CERTIS0731] Audibert, J.Y. and Munos, R. and Szepesvari, C. Variance estimates and exploration function in multiarmed bandit. CERTIS 0731, Mar 2007. (.bib)
 [CERTIS0735] Audibert, J.Y. No fast exponential deviation inequalities for the progressive mixture rule. CERTIS 0735, Mar 2007. (.bib)
 [CERTIS0730] Sahbi, H. and Audibert, J.Y. and Keriven, R. Graphcut transducers for relevance feedback in content based image retrieval. CERTIS 0730, Feb 2007. (.bib)
 [CERTIS0627] Duchenne, O. and Audibert, J.Y. and Keriven, R. Transductive segmentation. CERTIS 0627, Dec 2006. (.bib)
 [CERTIS0620] Audibert, J.Y. Fast learning rates in statistical inference through aggregation. CERTIS 0620, Nov 2006. (.bib)
 [CERTIS0626] Duchenne, O. and Audibert, J.Y. Fast interactive segmentation using color and textural information. CERTIS 0626, Sep 2006. (.bib)
 [CERTIS0622] Etyngier, P. and Paragios, N. and Audibert, J.Y. and Keriven, R. Radon/Hough space for pose estimation. CERTIS 0622, Jan 2006. (.bib)
 [CERTIS0505] Charpiat, G. and Audibert, J.Y. and Keriven, R. and Faugeras, O. Diffeomorphic Matching and Image Statistics. CERTIS 0505, Feb 2005. (.bib)
 [PP05] Audibert, J.Y. and Tsybakov, A. Fast learning rates for plugin estimators under the margin condition. Laboratoire de Probabilités et Modèles Aléatoires, 2005. (.bib)
 [PP0401] Audibert, J.Y. A better variance control for PACBayesian classification. Laboratoire de Probabilités et Modèles Aléatoires 905b, 2004. (.bib)
 [PP0402] Audibert, J.Y. Classification under polynomial entropy and margin assumptions and randomized estimators. Laboratoire de Probabilités et Modèles Aléatoires 908, 2004. (.bib)
 [PP03] Audibert, J.Y. Aggregated estimators and empirical complexity for least square regression. Laboratoire de Probabilités et Modèles Aléatoires 805b, 2003. (.bib)
