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hal-01544609v5  Journal articles
Rémi GribonvalGilles BlanchardNicolas KerivenYann Traonmilin. Compressive Statistical Learning with Random Feature Moments
Mathematical Statistics and Learning, EMS Publishing House, 2021, 3 (2), pp.113-164. ⟨10.4171/msl/20⟩
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hal-01208027v3  Conference papers
Nicolas KerivenAnthony BourrierRémi GribonvalPatrick Pérez. Sketching for Large-Scale Learning of Mixture Models
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China
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hal-01718411v2  Conference papers
Nicolas KerivenRémi Gribonval. Instance Optimal Decoding and the Restricted Isometry Property
8th International Conference on New Computational Methods for Inverse Problems (NCMIP), May 2018, Cachan, France. pp.012002, ⟨10.1088/1742-6596/1131/1/012002⟩
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hal-01165984v1  Documents associated with scientific events
Nicolas KerivenRémi Gribonval. Compressive Gaussian Mixture Estimation by Orthogonal Matching Pursuit with Replacement
SPARS 2015, Jul 2015, Cambridge, United Kingdom
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hal-02154803v1  Conference papers
Antoine ChatalicNicolas KerivenRémi Gribonval. Projections aléatoires pour l'apprentissage compressif
GRETSI 2019 − XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
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hal-01509863v1  Documents associated with scientific events
Yann TraonmilinNicolas KerivenRémi GribonvalGilles Blanchard. Spikes super-resolution with random Fourier sampling
SPARS workshop 2017, Jun 2017, Lisbonne, Portugal. 2017
hal-02484988v1  Journal articles
Nicolas KerivenDamien GarreauIacopo Poli. NEWMA: a new method for scalable model-free online change-point detection
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2020, 68, pp.3515 - 3528. ⟨10.1109/TSP.2020.2990597⟩
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hal-01386077v4  Conference papers
Nicolas KerivenNicolas TremblayYann TraonmilinRémi Gribonval. Compressive K-means
ICASSP 2017 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States
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hal-01329195v2  Journal articles
Nicolas KerivenAnthony BourrierRémi GribonvalPatrick Pérez. Sketching for Large-Scale Learning of Mixture Models
Information and Inference, Oxford University Press (OUP), 2018, 7 (3), pp.447-508. ⟨10.1093/imaiai/iax015⟩
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hal-01494045v1  Documents associated with scientific events
Nicolas KerivenRémi GribonvalGilles BlanchardYann Traonmilin. Random Moments for Sketched Mixture Learning
SPARS2017 - Signal Processing with Adaptive Sparse Structured Representations workshop, Jun 2017, Lisbon, Portugal
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tel-01620815v2  Theses
Nicolas Keriven. Sketching for large-scale learning of mixture models
Machine Learning [stat.ML]. Université Rennes 1, 2017. English. ⟨NNT : 2017REN1S055⟩
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hal-01701121v1  Conference papers
Antoine ChatalicRémi GribonvalNicolas Keriven. Large-Scale High-Dimensional Clustering with Fast Sketching
ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.4714-4718, ⟨10.1109/ICASSP.2018.8461328⟩
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hal-01633215v3  Conference papers
Nicolas KerivenAntoine DeleforgeAntoine Liutkus. Blind Source Separation Using Mixtures of Alpha-Stable Distributions
ICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.771-775, ⟨10.1109/ICASSP.2018.8462095⟩
hal-02976711v1  Conference papers
Nicolas KerivenAlberto BiettiSamuel Vaiter. Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver (virtual), Canada