Jean-Yves Audibert

According to our database1, Jean-Yves Audibert authored at least 43 papers between 2003 and 2014.

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Bibliography

2014
Robustness of stochastic bandit policies.
Theor. Comput. Sci., 2014

Regret in Online Combinatorial Optimization.
Math. Oper. Res., 2014

2013
Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem.
J. Mach. Learn. Res., 2013

2012
Semantic hierarchies for image annotation: A survey.
Pattern Recognition, 2012

Efficient and Scalable 4th-Order Match Propagation.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Context-Dependent Kernels for Object Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Structured Variable Selection with Sparsity-Inducing Norms.
J. Mach. Learn. Res., 2011

Minimax Policies for Combinatorial Prediction Games.
Proceedings of the COLT 2011, 2011

Data-driven crowd analysis in videos.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Density-aware person detection and tracking in crowds.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Deviations of Stochastic Bandit Regret.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010
General Road Detection From a Single Image.
IEEE Trans. Image Processing, 2010

Detecting Abandoned Objects With a Moving Camera.
IEEE Trans. Image Processing, 2010

Regret Bounds for Gaussian Process Bandit Problems.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Regret Bounds and Minimax Policies under Partial Monitoring.
J. Mach. Learn. Res., 2010

Some links between extremum spanning forests, watersheds and min-cuts.
Image Vision Comput., 2010

Network-dependent kernels for image ranking.
Proceedings of the International Conference on Image Processing, 2010

Best Arm Identification in Multi-Armed Bandits.
Proceedings of the COLT 2010, 2010

2009
Exploration-exploitation tradeoff using variance estimates in multi-armed bandits.
Theor. Comput. Sci., 2009

Workshop summary: On-line learning with limited feedback.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Vanishing point detection for road detection.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Minimax Policies for Adversarial and Stochastic Bandits.
Proceedings of the COLT 2009, 2009

Transductive Segmentation of Textured Meshes.
Proceedings of the Computer Vision, 2009

2008
Algorithms for Infinitely Many-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Semantic lattices for multiple annotation of images.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Robust matching and recognition using context-dependent kernels.
Proceedings of the Machine Learning, 2008

Empirical Bernstein stopping.
Proceedings of the Machine Learning, 2008

Graph laplacian for interactive image retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2008

Manifold learning using robust Graph Laplacian for interactive image search.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Context-dependent kernel design for object matching and recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Segmentation by transduction.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Object recognition and retrieval by context dependent similarity kernels.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

2007
Graph Laplacians and their Convergence on Random Neighborhood Graphs.
J. Mach. Learn. Res., 2007

Combining PAC-Bayesian and Generic Chaining Bounds.
J. Mach. Learn. Res., 2007

Progressive mixture rules are deviation suboptimal.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Manifold-adaptive dimension estimation.
Proceedings of the Machine Learning, 2007

Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Tuning Bandit Algorithms in Stochastic Environments.
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007

2006
Radon space and Adaboost for Pose Estimation.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Randomized Online Learning Algorithm for Better Variance Control.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Intrinsic dimensionality estimation of submanifolds in Rd.
Proceedings of the Machine Learning, 2005

From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2003
PAC-Bayesian Generic Chaining.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003


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