Filtrer vos résultats
- 49
- 19
- 1
- 34
- 21
- 7
- 2
- 2
- 1
- 1
- 1
- 39
- 34
- 30
- 4
- 1
- 1
- 3
- 5
- 9
- 7
- 9
- 4
- 7
- 3
- 7
- 3
- 4
- 2
- 3
- 2
- 1
- 64
- 5
- 35
- 30
- 15
- 15
- 11
- 11
- 7
- 7
- 7
- 6
- 6
- 5
- 4
- 4
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 69
- 15
- 14
- 7
- 7
- 7
- 5
- 5
- 5
- 5
- 5
- 5
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
69 résultats
|
|
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
|
||
|
|
Debiasing the Elastic Net for models with interactionsJDS2020, May 2020, Nice, France
Communication dans un congrès
hal-02995645v1
|
||
|
|
Mathematical programming for influence diagrams2019
Pré-publication, Document de travail
hal-02043198v1
|
||
|
|
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
|
||
|
|
Probabilistic low-rank matrix completion on finite alphabetsNIPS, Dec 2014, Montreal, Canada
Communication dans un congrès
hal-01081805v1
|
||
|
|
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
|
||
|
|
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
|
||
|
|
Stable Recovery with Analysis Decomposable PriorsSPARS 2013, Jul 2013, Lausanne, Switzerland. 1 pp
Communication dans un congrès
hal-00926727v1
|
||
|
|
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
|
||
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
|
|||
|
|
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
|
||
|
|
On Lasso refitting strategiesBernoulli, 2019, 25 (4A), pp.3175-3200. ⟨10.3150/18-BEJ1085⟩
Article dans une revue
hal-01593888v1
|
||
|
|
Screening Rules for Lasso with Non-Convex Sparse RegularizersInternational Conference on Machine Learning, 2019, Long Beach, United States
Communication dans un congrès
hal-02017967v1
|
||
|
|
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
|
||
|
|
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
|
||
|
|
Optimal aggregation of affine estimatorsCOLT - 24th Conference on Learning Theory - 2011, Jul 2011, Budapest, Hungary. 19 p
Communication dans un congrès
hal-00654251v1
|
||
|
|
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
|
||
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
|
|||
|
|
Agrégation d'estimateurs pour le débruitage d'image41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
Communication dans un congrès
inria-00386668v1
|
||
|
|
Stable Recovery with Analysis Decomposable PriorsProc. SampTA'13, Jul 2013, Bremen, Germany. pp.113-116
Communication dans un congrès
hal-00926732v1
|
||
|
|
CLEAR: Covariant LEAst-Square Refitting with Applications to Image RestorationSIAM Journal on Imaging Sciences, 2017, 10 (1), pp.243-284. ⟨10.1137/16M1080318⟩
Article dans une revue
hal-01333295v3
|
||
|
|
Screening Rules and its Complexity for Active Set IdentificationJournal of Convex Analysis, 2021, 28 (4), pp.1053--1072
Article dans une revue
hal-02933051v1
|
||
|
|
Provably Convergent Working Set Algorithm for Non-Convex Regularized RegressionInternational Conference on Artificial Intelligence and Statistics, 2022
Proceedings/Recueil des communications
hal-02875560v4
|
||
|
|
On high dimensional regression: computational and statistical perspectivesMachine Learning [stat.ML]. École normale supérieure Paris-Saclay, 2017
HDR
tel-01572253v1
|
||
|
|
A two-head loss function for deep Average-K classification2023
Pré-publication, Document de travail
hal-04204318v1
|
||
|
|
Mandatory Critical Points of 2D Uncertain Scalar FieldsComputer Graphics Forum, 2014, 33 (3), pp.31-40. ⟨10.1111/cgf.12359⟩
Article dans une revue
hal-01206152v1
|
||
|
|
Competing against the Best Nearest Neighbor Filter in RegressionALT 2011 - 22nd International Conference on Algorithmic Learning Theory, Oct 2011, Espoo, Finland. pp.129-143, ⟨10.1007/978-3-642-24412-4_13⟩
Communication dans un congrès
hal-00654276v1
|
||
|
|
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task LassoNeurIPS 2020 - 34h Conference on Neural Information Processing Systems, Dec 2020, Vancouver /Virtual, Canada
Communication dans un congrès
hal-03023228v1
|
||
|
|
Adapting to unknown noise level in sparse deconvolutionInformation and Inference, 2017
Article dans une revue
hal-01588129v1
|
||
|
|
Peerannot: classification for crowdsourced image datasets with Python2023
Pré-publication, Document de travail
hal-04202889v1
|