
Statistical learning
[ALT11] Competing against the best nearest neighbor filter in regression
[COLT11b] Tight conditions for consistent variable selection in high dimensional nonparametric regression
[COLT11a] Optimal aggregation of affine estimators
[AOS11]
[AIHP11] Secondorder asymptotic expansion for a nonsynchronous covariation estimator
[HAL09a] Risk bounds in linear regression through PACBayesian truncation
[AoS08] Fast learning rates in statistical inference through aggregation
[NIPS07] Progressive mixture rules are deviation suboptimal
[CERTIS0735] No fast exponential deviation inequalities for the progressive mixture rule
[AS06] Fast learning rates for plugin classifiers
[JMLR07a] Combining PACBayesian and generic chaining bounds
[NIPS06w] Use of variance estimation in the multiarmed bandit problem
[CERTIS0620] Fast learning rates in statistical inference through aggregation
[COLT06] A randomized online learning algorithm for better variance control
[PP05] Fast learning rates for plugin estimators under the margin condition
[B04] Aggregated estimators and empirical complexity for least square regression
[PhD04a] PACBayesian Statistical Learning Theory
[NIPS04] PACBayesian Generic Chaining
[PP0401] A better variance control for PACBayesian classification
[PP0402] Classification under polynomial entropy and margin assumptions and randomized estimators
[PP03] Aggregated estimators and empirical complexity for least square regression




Goodnessoffit testing
[JMLR12] Minimax hypothesis testing for curve registration




Image Segmentation
[JCMA11] Description of random fields by means of onepoint finiteconditional distributions
[ACCV09a] Transductive segmentation of textured meshes
[CVPR08a] Segmentation by transduction
[SSVM07] Towards segmentation based on a shape prior manifold
[CERTIS0627] Transductive segmentation
[CERTIS0626] Fast interactive segmentation using color and textural information




Exploration vs Exploitation
[ALT11a] Deviations of Stochastic Bandit Regret
[COLT11 ] Minimax policies for combinatorial prediction games
[HDR10] PACBayesian aggregation and multiarmed bandits
[JMLR10] Regret Bounds and Minimax Policies under Partial Monitoring
[COLT10] Best Arm Identification in MultiArmed Bandits
[AISTATS10] Regret bounds for Gaussian process bandit problems
[book_chapter] Bandit view on noisy optimization
[COLT09a] Minimax policies for adversarial and stochastic bandits
[NIPS08] Algorithms for Infinitely ManyArmed Bandits
[ICML08b] Empirical Bernstein stopping
[TCS08] Explorationexploitation tradeoff using variance estimates in multiarmed bandits
[ALT07] Tuning bandit algorithms in stochastic environments
[CERTIS0731] Variance estimates and exploration function in multiarmed bandit




Image Retrieval
[PR11] Semantic hierarchies for image annotation: a survey
[ECCV2010b] Towards Optimal Naive Bayes Nearest Neighbor
[PhD10] Hiérarchies sémantiques pour l’annotation multifacette d’images
[MIR08] Semantic Lattices for Multiple Annotation of Images
[CBMI08] Object Recognition and Retrieval by Context Dependent Similarity Kernels
[CVPR08b] Manifold Learning using Robust Graph Laplacian for Interactive Image Retrieval
[ICASSP08] Interactive Image Retrieval
[TSI0718] ContextDependent Kernel Design for Object Matching and Recognition
[ISNN07] A Particular Gaussian Mixture Model for Clustering
[CERTIS0732] Graph Laplacian for Interactive Image Retrieval
[CERTIS0730] Graphcut transducers for relevance feedback in content based image retrieval




Sparse recovery
[HAL09b] Structured Variable Selection with SparsityInducing Norms
[MLVMA09] Sparse Learning Approach to the Problem of Robust Estimation of Camera Locations
[COLT09b] Sparse Regression Learning by Aggregation and Langevin MonteCarlo
[ML08a] Aggregation by exponential weighting, sharp oracle inequalities and sparsity




Manifold learning and denoising
[ICIP08] Normalization and Preimage Problem in Gaussian Kernel PCA




Kernel Methods
[ICML08a] Robust Matching and Recognition using ContextDependent Kernels




Manifold learning
[JMLR08a] A new algorithm for estimating the effective dimensionreduction subspace
[NIPS07w] Toward ManifoldAdaptive Learning
[ICML07] Manifoldadaptive dimension estimation
[JMLR07b] Graph laplacians and their convergence on random neighborhood graphs
[ICML05] Intrinsic dimensionality estimation of submanifolds in R^d
[COLT05] From graphs to manifolds  weak and strong pointwise consistency of graph Laplacians




Machine and speech translation
[ICASSP07] Consensus Network Decoding For Statistical Machine Translation System Combination
