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69 résultats
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Score-Based Change Detection For Gradient-Based Learning MachinesICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, France. pp.4990-4994, ⟨10.1109/ICASSP39728.2021.9414085⟩
Communication dans un congrès
hal-03561987v1
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Debiasing the Elastic Net for models with interactionsJDS2020, May 2020, Nice, France
Communication dans un congrès
hal-02995645v1
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Mathematical programming for influence diagrams2019
Pré-publication, Document de travail
hal-02043198v1
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Image denoising with patch based PCA: local versus globalBMVC 2011 - 22nd British Machine Vision Conference, Aug 2011, Dundee, United Kingdom. pp.25.1-25.10, ⟨10.5244/C.25.25⟩
Communication dans un congrès
hal-00654289v1
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Probabilistic low-rank matrix completion on finite alphabetsNIPS, Dec 2014, Montreal, Canada
Communication dans un congrès
hal-01081805v1
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Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergenceSignal Processing with Adaptive Sparse Structured Representations (SPARS'17), Jun 2017, Lisbon, Portugal
Communication dans un congrès
hal-01412059v1
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Poisson noise reduction with non-local PCAJournal of Mathematical Imaging and Vision, 2014, 48 (2), pp.279-294. ⟨10.1007/s10851-013-0435-6⟩
Article dans une revue
hal-00957837v1
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Stable Recovery with Analysis Decomposable PriorsSPARS 2013, Jul 2013, Lausanne, Switzerland. 1 pp
Communication dans un congrès
hal-00926727v1
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Learning Heteroscedastic Models by Convex Programming under Group SparsityProceedings of the 30 th International Conference on Machine Learning, 2013, http://icml.cc/2013/?page_id=43
Article dans une revue
hal-00813908v1
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A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imagingInverse Problems, 2018, 34 (8), pp.085010
Article dans une revue
hal-01970744v1
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Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classificationICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.7208-7222
Communication dans un congrès
hal-03828747v1
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On Lasso refitting strategiesBernoulli, 2019, 25 (4A), pp.3175-3200. ⟨10.3150/18-BEJ1085⟩
Article dans une revue
hal-01593888v1
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Screening Rules for Lasso with Non-Convex Sparse RegularizersInternational Conference on Machine Learning, 2019, Long Beach, United States
Communication dans un congrès
hal-02017967v1
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Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penaltiesInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'19), Jun 2019, Hofgeismar, Germany. pp.131-143
Communication dans un congrès
hal-02059006v1
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Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distributionNeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France. ⟨10.5281/zenodo.5645731⟩
Communication dans un congrès
hal-03474556v2
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Optimal aggregation of affine estimatorsCOLT - 24th Conference on Learning Theory - 2011, Jul 2011, Budapest, Hungary. 19 p
Communication dans un congrès
hal-00654251v1
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Agrégation d'estimateurs et méthodes à patch pour le débruitage d'images numériquesMathématiques [math]. Université Paris-Diderot - Paris VII, 2010. Français. ⟨NNT : ⟩
Thèse
tel-00545643v1
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GAP Safe screening rules for sparse multi-task and multi-class modelsConference on Neural Information Processing Systems, Dec 2015, Montréal, Canada
Communication dans un congrès
hal-02287197v1
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Agrégation d'estimateurs pour le débruitage d'image41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
Communication dans un congrès
inria-00386668v1
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Stable Recovery with Analysis Decomposable PriorsProc. SampTA'13, Jul 2013, Bremen, Germany. pp.113-116
Communication dans un congrès
hal-00926732v1
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Block based refitting in $\ell_{12}$ sparse regularisationJournal of Mathematical Imaging and Vision, 2021, 63, pp.216-236. ⟨10.1007/s10851-020-00993-2⟩
Article dans une revue
hal-02330441v1
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Integer Programming on the Junction Tree Polytope for Influence DiagramsINFORMS Journal on Optimization, 2020, 2 (3), pp.209-228. ⟨10.1287/ijoo.2019.0036⟩
Article dans une revue
hal-03573225v1
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LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso2021
Pré-publication, Document de travail
hal-03562043v1
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Adaptative Multinomial Matrix CompletionElectronic Journal of Statistics , 2015
Article dans une revue
hal-02287317v1
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Adaptive Multinomial Matrix CompletionElectronic Journal of Statistics , 2015
Article dans une revue
hal-01058447v1
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Efficient Smoothed Concomitant Lasso Estimation for High Dimensional RegressionJournal of Physics: Conference Series, 2017, Journal of Physics: Conference Series, J. Phys.: Conf. Ser. 904 012006, ⟨10.1088/1742-6596/904/1/012006⟩
Article dans une revue
hal-01404966v1
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Spatially relaxed inference on high-dimensional linear modelsStatistics and Computing, 2021, 32 (83), ⟨10.1007/s11222-022-10139-6⟩
Article dans une revue
hal-03887430v1
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Implicit differentiation of Lasso-type models for hyperparameter optimizationICML 2020 - 37th International Conference on Machine Learning, Jul 2020, Vienna / Virtuel, Austria
Communication dans un congrès
hal-02532683v2
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Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuningMedical imaging meets NeurIPS 2021, Dec 2021, Sydney, Australia
Communication dans un congrès
hal-03418092v1
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Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Apr 2018, Lanzarote, Spain
Communication dans un congrès
hal-01812011v1
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