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Model selection by penalization in mixture of experts models with a non-asymptotic approach

• Authors : Nguyen, Trungtin; Chamroukhi, Faicel; Nguyen, Hien Duy ...

Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]; [STAT.ME] Statistics [stat]/Methodology [stat.ME]; Mixture of experts models

• Source: JDS 2022-53èmes Journées de Statistique de la Société Française de Statistique (SFdS)JDS 2022-53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022,

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A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

• Authors : Nguyen, Trungtin; Nguyen, Hien Duy; Chamroukhi, Faicel ...

Subjects: FOS: Computer and information sciences; model selection; Computer Science - Machine Learning

• Source: Electronic Journal of StatisticsElectronic Journal of Statistics, 2022, 16 (2), pp.4742-4822. ⟨10.1214/22-EJS2057⟩

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Penalization of Barycenters in the Wasserstein Space

• Authors : Bigot, Jérémie; Cazelles, Elsa; Papadakis, Nicolas ...

Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]; 0101 mathematics

• Source: SIAM Journal on Mathematical AnalysisSIAM Journal on Mathematical Analysis, Society for Industrial and Applied Mathematics, 2019, 51 (3), pp.2261-2285

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Estimating the Number of Block Boundaries from Diagonal Blockwise Matrices Without Penalization

• Authors : Emilie Lebarbier; Vincent Brault; Tristan Mary-Huard ...

Subjects: Segmentation; [SDV]Life Sciences [q-bio]; Hi-C data

• Source: Scandinavian Journal of StatisticsScandinavian Journal of Statistics, Wiley, 2017, 44 (2), pp.563-580. ⟨10.1111/sjos.12266⟩Scandinavian Journal of Statistics, Wiley, 2017, 44 (2),

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Model selection by resampling penalization

• Authors : Arlot, Sylvain;

Subjects: model selection; penalization; histogram selection

• Source: Electronic Journal of StatisticsElectronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2009, 3, pp.557--624. ⟨10.1214/08-EJS196⟩Electronic Journal

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V-fold cross-validation improved: V-fold penalization

• Authors : Arlot, Sylvain;

Subjects: 62G09 (Primary); FOS: Computer and information sciences; model selection

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Model Selection by Bootstrap Penalization for Classification

• Authors : Fromont, Magalie;

Subjects: empirical processes; convergence; [STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]

• Source: Lecture Notes in Computer Science ISBN: 9783540222828Machine LearningMachine Learning, Springer Verlag, 2007, 66 (2-3), pp.165-207. ⟨10.1007/s10994-006-7679-y⟩Machine Learning,

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Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion

• Authors : Koltchinskii, Vladimir; Lounici, Karim; Tsybakov, Alexandre B. ...

Subjects: FOS: Computer and information sciences; Matrix completion; low-rank matrix estimation

• Source: Annals of StatisticsAnnals of Statistics, Institute of Mathematical Statistics, 2011, 39 (5), pp.2302-2329Ann. Statist. 39, no. 5 (2011), 2302-2329

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General oracle inequalities for a penalized log-likelihood criterion based on non-stationary data ; Inégalités oracles générales pour un critère par log-vraisemblance pénalisée pour des données non stationnaires

• Authors : Aubert, Julien; Lehéricy, Luc; Reynaud-Bouret, Patricia ...

Subjects: log-likelihood; penalization; oracle inequality

• Source: https://hal.science/hal-04578260 ; 2024.

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Model selection by resampling penalization

• Authors : Arlot, Sylvain;

Subjects: resampling; V-fold cross-validation; regression

• Source: https://hal.science/hal-00125455 ; 2007.

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