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Low-rank methods for heterogeneous and multi-source data
Geneviève Robin
Thèse
tel-02168204v1
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Generative methods for sampling transition paths in molecular dynamics
Tony Lelièvre
,
Geneviève Robin
,
Inass Sekkat
,
Gabriel Stoltz
,
Gabriel Victorino Cardoso
Article dans une revue
hal-03661671v1
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Low-rank model with covariates for count data analysis
Geneviève Robin
,
Julie Josse
,
Éric Moulines
,
Sylvain Sardy
Journal of Multivariate Analysis, 2019, 173
Article dans une revue
hal-01482773v3
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Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Geneviève Robin
,
Hoi-To Wai
,
Julie Josse
,
Olga Klopp
,
Éric Moulines
32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Dec 2018, Montréal, Canada
Communication dans un congrès
hal-01959188v2
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Outliers Detection in Networks with Missing Links
Solenne Gaucher
,
Olga Klopp
,
Geneviève Robin
Computational Statistics and Data Analysis, 2021, 164, pp.107308
Article dans une revue
hal-02386940v2
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Imputation of mixed data with multilevel singular value decomposition
François Husson
,
Julie Josse
,
Balasubramanian Narasimhan
,
Geneviève Robin
Article dans une revue
hal-01781291v1
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Main effects and interactions in mixed and incomplete data frames
Geneviève Robin
,
Olga Klopp
,
Julie Josse
,
Éric Moulines
,
Robert Tibshirani
Article dans une revue
hal-02423445v1
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Incomplete graphical model inference via latent tree aggregation
Geneviève Robin
,
Christophe Ambroise
,
Stephane S. Robin
Article dans une revue
hal-01686841v1
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Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut
,
Gersende Fort
,
Eric Moulines
,
Geneviève Robin
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia
Communication dans un congrès
hal-03333516v3
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