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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
Preprints, Working Papers, ...
hal-02139208v2
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KSD Aggregated Goodness-of-fit Test
Antonin Schrab
,
Benjamin Guedj
,
Arthur Gretton
2022
Preprints, Working Papers, ...
hal-03554423v1
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A Primer on PAC-Bayesian Learning
Benjamin Guedj
2019
Preprints, Working Papers, ...
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
Conference papers
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
Conference papers
hal-02086856v2
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Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
John Klein
,
Mahmoud Albardan
,
Benjamin Guedj
,
Olivier Colot
Conference papers
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
Conference papers
hal-03430821v1
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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 : ⟩
Theses
tel-00922353v1
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COBRA: A Combined Regression Strategy
Gérard Biau
,
Aurélie Fischer
,
Benjamin Guedj
,
James Malley
Journal articles
hal-01361789v3
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Learning PAC-Bayes Priors for Probabilistic Neural Networks
María Pérez-Ortiz
,
Omar Rivasplata
,
Benjamin Guedj
,
Matthew Gleeson
,
Jingyu Zhang
,
et al.
2021
Preprints, Working Papers, ...
hal-03351794v1
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A Quasi-Bayesian Perspective to Online Clustering
Le Li
,
Benjamin Guedj
,
Sébastien Loustau
Journal articles
hal-01264233v4
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Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte
,
Pascal Germain
,
Benjamin Guedj
,
François Laviolette
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Conference papers
hal-02139432v2
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PAC-Bayesian High Dimensional Bipartite Ranking
Benjamin Guedj
,
Sylvain Robbiano
Journal articles
hal-01226472v1
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PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Benjamin Guedj
,
Pierre Alquier
Journal articles
hal-00722969v3
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Learning via Wasserstein-Based High Probability Generalisation Bounds
Paul Viallard
,
Maxime Haddouche
,
Umut Şimşekli
,
Benjamin Guedj
2023
Preprints, Working Papers, ...
hal-04121624v1
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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
Conference papers
hal-02064396v1
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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
Preprints, Working Papers, ...
hal-03046401v1
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Kernel-Based Ensemble Learning in Python
Benjamin Guedj
,
Bhargav Srinivasa Desikan
Journal articles
hal-02443097v2
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Online PAC-Bayes Learning
Maxime Haddouche
,
Benjamin Guedj
2022
Preprints, Working Papers, ...
hal-03701105v1
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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
Conference papers
hal-01419755v1
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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
Journal articles
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
Conference papers
hal-02872161v3
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Reprint: a randomized extrapolation based on principal components for data augmentation
Jiale Wei
,
Qiyuan Chen
,
Pai Peng
,
Benjamin Guedj
,
Le Li
2022
Preprints, Working Papers, ...
hal-03659407v1
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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
Journal articles
hal-03815101v3
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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
Journal articles
hal-01514059v3
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Non-Vacuous Generalisation Bounds for Shallow Neural Networks
Felix Biggs
,
Benjamin Guedj
2022
Preprints, Working Papers, ...
hal-03557415v1
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Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Gaël Letarte
,
Pascal Germain
,
Benjamin Guedj
,
François Laviolette
ML with guarantees -- NeurIPS 2019 workshop, Dec 2019, Vancouver, Canada
Poster communications
hal-02482354v1
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Clustering en ligne : le point de vue PAC-bayésien
Le Li
,
Benjamin Guedj
,
Sébastien Loustau
2016
Preprints, Working Papers, ...
hal-01264934v1
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Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks
Felix Biggs
,
Benjamin Guedj
Journal articles
hal-02879216v1
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Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
Fredrik Hellström
,
Giuseppe Durisi
,
Benjamin Guedj
,
Maxim Raginsky
2023
Preprints, Working Papers, ...
hal-04205539v1
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