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Aggregation of estimators and classifiers : theory and methods

 Benjamin Guedj
Statistics Theory [stat.TH]. Université Pierre et Marie Curie - Paris VI, 2013. English. ⟨NNT : ⟩
Thèse tel-00922353v1
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Perturbed Model Validation: A New Framework to Validate Model Relevance

 Jie Zhang , Earl T Barr , Benjamin Guedj , Mark Harman , John Shawe-Taylor
2019
Pré-publication, Document de travail hal-02139208v2
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KSD Aggregated Goodness-of-fit Test

 Antonin Schrab , Benjamin Guedj , Arthur Gretton
2022
Pré-publication, Document de travail hal-03554423v1
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Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles

 John Klein , Mahmoud Albardan , Benjamin Guedj , Olivier Colot
ECML-PKDD, Decentralized Machine Learning at the Edge Workshop, Sep 2019, Wurzburg, Germany. ⟨10.1007/978-3-030-43823-4_26⟩
Communication dans un congrès hal-01779989v1
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Progress in Self-Certified Neural Networks

 Maria Perez-Ortiz , Omar Rivasplata , Emilio Parrado-Hernandez , Benjamin Guedj , John Shawe-Taylor
NeurIPS 2021 - Conference on Neural Information Processing Systems. Session Workshop : Bayesian Deep Learning, Dec 2021, Virtual, United Kingdom
Communication dans un congrès hal-03430821v1
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A Primer on PAC-Bayesian Learning

 Benjamin Guedj
2019
Pré-publication, Document de travail hal-01983732v3
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PAC-Bayesian Bound for the Conditional Value at Risk

 Zakaria Mhammedi , Benjamin Guedj , Robert C. Williamson
NeurIPS 2020, Dec 2020, Vancouver / Virtual, Canada
Communication dans un congrès hal-02883728v1
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Non-linear aggregation of filters to improve image denoising

 Benjamin Guedj , Juliette Rengot
Computing Conference 2020, Jul 2020, London, United Kingdom
Communication dans un congrès hal-02086856v2
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PAC-Bayesian Estimation and Prediction in Sparse Additive Models

 Benjamin Guedj , Pierre Alquier
Electronic Journal of Statistics , 2013, 7, pp.264--291. ⟨10.1214/13-EJS771⟩
Article dans une revue hal-00722969v3
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Kernel-Based Ensemble Learning in Python

 Benjamin Guedj , Bhargav Srinivasa Desikan
Information, 2020, 11 (2), pp.63. ⟨10.3390/info11020063⟩
Article dans une revue hal-02443097v2

Pitfalls in Mixtures from the Clustering Angle

 Christophe Biernacki , Gwenaelle Castellan , Stephane Chretien , Benjamin Guedj , Vincent Vandewalle
Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France
Communication dans un congrès hal-01419755v1
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Revisiting clustering as matrix factorisation on the Stiefel manifold

 Stephane Chretien , Benjamin Guedj
LOD 2020 - the Sixth International Conference on Machine Learning, Optimisation and Data Science, Jul 2020, Siena, Italy
Communication dans un congrès hal-02064396v1

Online PAC-Bayes Learning

 Maxime Haddouche , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03701105v1
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Comparing Comparators in Generalization Bounds

 Fredrik Hellström , Benjamin Guedj
2023
Pré-publication, Document de travail hal-04259101v1
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A PAC-Bayesian Link Between Generalisation and Flat Minima

 Maxime Haddouche , Paul Viallard , Umut Şimşekli , Benjamin Guedj
2024
Pré-publication, Document de travail hal-04455639v1

Learning via Wasserstein-Based High Probability Generalisation Bounds

 Paul Viallard , Maxime Haddouche , Umut Şimşekli , Benjamin Guedj
NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States. ⟨10.48550/arXiv.2306.04375⟩
Communication dans un congrès hal-04121624v1
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A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings

 Théophile Cantelobre , Benjamin Guedj , María Pérez-Ortiz , John Shawe-Taylor
2020
Pré-publication, Document de travail hal-03046401v1

Tighter Generalisation Bounds via Interpolation

 Paul Viallard , Maxime Haddouche , Umut Şimşekli , Benjamin Guedj
2024
Pré-publication, Document de travail hal-04456925v1
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Non-Vacuous Generalisation Bounds for Shallow Neural Networks

 Felix Biggs , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03557415v1

Reprint: a randomized extrapolation based on principal components for data augmentation

 Jiale Wei , Qiyuan Chen , Pai Peng , Benjamin Guedj , Le Li
2022
Pré-publication, Document de travail hal-03659407v1
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Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

 Benjamin Guedj , Bhargav Srinivasa Desikan
Journal of Machine Learning Research, 2018, 18, pp.1 - 5
Article dans une revue hal-01514059v3
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Cluster-Specific Predictions with Multi-Task Gaussian Processes

 Arthur Leroy , Pierre Latouche , Benjamin Guedj , Servane Gey
Journal of Machine Learning Research, In press
Article dans une revue hal-03009276v3
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Towards control of opinion diversity by introducing zealots into a polarised social group

 Antoine Vendeville , Benjamin Guedj , Shi Zhou
Complex Networks and Their Applications X, Nov 2021, Madrid, Spain. ⟨10.1007/978-3-030-93413-2_29⟩
Communication dans un congrès hal-02872161v3
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PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales

 Maxime Haddouche , Benjamin Guedj
Transactions on Machine Learning Research Journal, 2023
Article dans une revue hal-03815101v3
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A PAC-Bayes bound for deterministic classifiers

 Eugenio Clerico , George Deligiannidis , Benjamin Guedj , Arnaud Doucet
2022
Pré-publication, Document de travail hal-03815146v1
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Bayesian uncertainty quantification for anaerobic digestion models

 Antoine Picard-Weibel , Gabriel Capson-Tojo , Benjamin Guedj , Roman Moscoviz
Bioresource Technology, 2024, 394, pp.130147. ⟨10.1016/j.biortech.2023.130147⟩
Article dans une revue hal-04461829v1

Optimistic Dynamic Regret Bounds

 Maxime Haddouche , Benjamin Guedj , Olivier Wintenberger
2023
Pré-publication, Document de travail hal-03953310v1
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Forecasting elections results via the voter model with stubborn nodes

 Antoine Vendeville , Benjamin Guedj , Shi Zhou
Applied Network Science, 2021
Article dans une revue hal-02946434v2

On discord in the voter model for complex networks

 Antoine Vendeville , Benjamin Guedj , Shi Zhou
2022
Pré-publication, Document de travail hal-03600429v1
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On Margins and Derandomisation in PAC-Bayes

 Felix Biggs , Benjamin Guedj
AISTATS 2022 - 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain
Communication dans un congrès hal-03282597v2
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