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	Pour les 70 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 3 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Online PAC-Bayes Learning Maxime Haddouche , Benjamin Guedj 2022 Pré-publication, Document de travail hal-03701105v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Comparing Comparators in Generalization Bounds Fredrik Hellström , Benjamin Guedj 2023 Pré-publication, Document de travail hal-04259101v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		KSD Aggregated Goodness-of-fit Test Antonin Schrab , Benjamin Guedj , Arthur Gretton 2022 Pré-publication, Document de travail hal-03554423v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Primer on PAC-Bayesian Learning Benjamin Guedj 2019 Pré-publication, Document de travail hal-01983732v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Tighter Generalisation Bounds via Interpolation Paul Viallard , Maxime Haddouche , Umut Şimşekli , Benjamin Guedj 2024 Pré-publication, Document de travail hal-04456925v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs , Benjamin Guedj 2022 Pré-publication, Document de travail hal-03557415v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On change of measure inequalities for $f$-divergences Antoine Picard-Weibel , Benjamin Guedj 2022 Pré-publication, Document de travail hal-03573465v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On Margins and Generalisation for Voting Classifiers Felix Biggs , Valentina Zantedeschi , Benjamin Guedj 2022 Pré-publication, Document de travail hal-03700887v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Efficient Aggregated Kernel Tests using Incomplete $U$-statistics Antonin Schrab , Ilmun Kim , Benjamin Guedj , Arthur Gretton 2022 Pré-publication, Document de travail hal-03701416v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Still no free lunches: the price to pay for tighter PAC-Bayes bounds Benjamin Guedj , Louis Pujol Entropy, 2021, ⟨10.3390/e23111529⟩ Article dans une revue hal-02401286v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An end-to-end data-driven optimisation framework for constrained trajectories Florent Dewez , Benjamin Guedj , Arthur Talpaert , Vincent Vandewalle Data-Centric Engineering, 2022, 3, pp.e6. ⟨10.1017/dce.2022.6⟩ Article dans une revue hal-03024720v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning Florent Dewez , Benjamin Guedj , Vincent Vandewalle Data-Centric Engineering, 2020, ⟨10.1017/dce.2020.12⟩ Article dans une revue hal-02570875v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

PAC-Bayesian Estimation and Prediction in Sparse Additive Models

Online PAC-Bayes Learning

Comparing Comparators in Generalization Bounds

Pitfalls in Mixtures from the Clustering Angle

Revisiting clustering as matrix factorisation on the Stiefel manifold

A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings

Learning via Wasserstein-Based High Probability Generalisation Bounds

A PAC-Bayesian Link Between Generalisation and Flat Minima

Kernel-Based Ensemble Learning in Python

Aggregation of estimators and classifiers : theory and methods

Perturbed Model Validation: A New Framework to Validate Model Relevance

KSD Aggregated Goodness-of-fit Test

Progress in Self-Certified Neural Networks

A Primer on PAC-Bayesian Learning

PAC-Bayesian Bound for the Conditional Value at Risk

Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles

Non-linear aggregation of filters to improve image denoising

Tighter Generalisation Bounds via Interpolation

Non-Vacuous Generalisation Bounds for Shallow Neural Networks

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

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

Cluster-Specific Predictions with Multi-Task Gaussian Processes

Towards control of opinion diversity by introducing zealots into a polarised social group

PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales

On change of measure inequalities for $f$-divergences

On Margins and Generalisation for Voting Classifiers

Efficient Aggregated Kernel Tests using Incomplete $U$-statistics

Still no free lunches: the price to pay for tighter PAC-Bayes bounds

An end-to-end data-driven optimisation framework for constrained trajectories

From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning