Benjamin Guedj

87
Documents

Publications

Publications

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RestoreAI - Pattern-based Risk Estimation Of Remaining Explosives

Björn Kischelewski , Benjamin Guedj , David Wahl
2025
Pré-publication, Document de travail hal-05202821 v1

How good is PAC-Bayes at explaining generalisation?

Antoine Picard-Weibel , Eugenio Clerico , Roman Moscoviz , Benjamin Guedj
2025
Pré-publication, Document de travail hal-04989460 v1
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AI for Explosive Ordnance Detection in Clearance Operations: The State of Research

Björn Kischelewski , Gregory Cathcart , David Wahl , Benjamin Guedj
2024
Pré-publication, Document de travail (preprint/prepublication) hal-04603209 v3
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Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?

Damien Rouchouse , Antoine Gonon , Rémi Gribonval , Benjamin Guedj
2025
Pré-publication, Document de travail hal-05290479 v1
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Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks

Valentin Kilian , Benjamin Guedj , François Caron
2025
Pré-publication, Document de travail hal-05080529 v1

Predicting Electricity Consumption with Random Walks on Gaussian Processes

Chloé Hashimoto-Cullen , Benjamin Guedj
2024
Pré-publication, Document de travail hal-04694270 v1
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Closed-form Filtering for Non-linear Systems

Théophile Cantelobre , Carlo Ciliberto , Benjamin Guedj , Alessandro Rudi
2024
Pré-publication, Document de travail hal-04458936 v1

Tighter Generalisation Bounds via Interpolation

Paul Viallard , Maxime Haddouche , Umut Şimşekli , Benjamin Guedj
2024
Pré-publication, Document de travail hal-04456925 v1
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Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation

Maxime Haddouche , Benjamin Guedj
2023
Pré-publication, Document de travail hal-04080080 v2
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Federated Learning with Nonvacuous Generalisation Bounds

Pierre Jobic , Maxime Haddouche , Benjamin Guedj
2023
Pré-publication, Document de travail hal-04260486 v1
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Comparing Comparators in Generalization Bounds

Fredrik Hellström , Benjamin Guedj
2023
Pré-publication, Document de travail hal-04259101 v1

Optimistic Dynamic Regret Bounds

Maxime Haddouche , Benjamin Guedj , Olivier Wintenberger
2023
Pré-publication, Document de travail hal-03953310 v1
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A note on regularised NTK dynamics with an application to PAC-Bayesian training

Eugenio Clerico , Benjamin Guedj
2023
Pré-publication, Document de travail hal-04358260 v1
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Generalization Bounds: Perspectives from Information Theory and PAC-Bayes

Fredrik Hellström , Giuseppe Durisi , Benjamin Guedj , Maxim Raginsky
2023
Pré-publication, Document de travail hal-04205539 v1

On Margins and Generalisation for Voting Classifiers

Felix Biggs , Valentina Zantedeschi , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03700887 v1
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On change of measure inequalities for $f$-divergences

Antoine Picard-Weibel , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03573465 v1

Online PAC-Bayes Learning

Maxime Haddouche , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03701105 v1

Discord in the voter model for complex networks

Antoine Vendeville , Shi Zhou , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03600429 v1
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Measuring dissimilarity with diffeomorphism invariance

Théophile Cantelobre , Carlo Ciliberto , Benjamin Guedj , Alessandro Rudi
2022
Pré-publication, Document de travail hal-03573479 v1

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-03659407 v1
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Non-Vacuous Generalisation Bounds for Shallow Neural Networks

Felix Biggs , Benjamin Guedj
2022
Pré-publication, Document de travail hal-03557415 v1
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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
Pré-publication, Document de travail hal-03351794 v1
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Upper and Lower Bounds on the Performance of Kernel PCA

Maxime Haddouche , Benjamin Guedj , Omar Rivasplata , John Shawe-Taylor
2020
Pré-publication, Document de travail hal-03084598 v1
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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-03046401 v1
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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-02139208 v2
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A Primer on PAC-Bayesian Learning

Benjamin Guedj
2019
Pré-publication, Document de travail hal-01983732 v3
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Stability revisited: new generalisation bounds for the Leave-one-Out

Alain Celisse , Benjamin Guedj
2016
Pré-publication, Document de travail hal-01355365 v1
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Clustering en ligne : le point de vue PAC-bayésien

Le Li , Benjamin Guedj , Sébastien Loustau
2016
Pré-publication, Document de travail hal-01264934 v1
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A PAC-Bayesian Link Between Generalisation and Flat Minima

Maxime Haddouche , Paul Viallard , Umut Şimşekli , Benjamin Guedj
ALT 2025 - 36th International Conference on Algorithmic Learning Theory, Feb 2025, Milan, Italy. pp.1-31
Communication dans un congrès hal-04455639 v2
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Generalisation under gradient descent via deterministic PAC-Bayes

Eugenio Clerico , Tyler Farghly , George Deligiannidis , Benjamin Guedj , Arnaud Doucet
ALT 2025 - Association for Learning Theory, Feb 2025, Milan, Italy
Communication dans un congrès hal-03815146 v2
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Learning via Surrogate PAC-Bayes

Antoine Picard-Weibel , Roman Moscoviz , Benjamin Guedj
NeurIPS 2024, Dec 2024, Vancouver, Canada
Communication dans un congrès hal-04731841 v2
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Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

Reuben Adams , John Shawe-Taylor , Benjamin Guedj
NeurIPS 2024 - Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada
Communication dans un congrès hal-03573458 v1
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Learning via Wasserstein-Based High Probability Generalisation Bounds

Paul Viallard , Maxime Haddouche , Umut Şimşekli , Benjamin Guedj
NeurIPS 2023 Workshop on Optimal Transport and Machine Learning (OTML'23), Dec 2023, New Orleans, United States. ⟨10.48550/arXiv.2306.04375⟩
Communication dans un congrès hal-04273718 v1

Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard et al.
CAp 2022, Jul 2022, Vannes, France
Communication dans un congrès hal-03703804 v1

Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty

Felix Biggs , Benjamin Guedj
AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain
Communication dans un congrès hal-03953307 v1
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Active links density in the Voter Model with zealots

Antoine Vendeville , Benjamin Guedj , Shi Zhou
Conference on Complex Systems 2022, Oct 2022, Palma de Mallorca, Spain
Communication dans un congrès hal-04010520 v1
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KSD Aggregated Goodness-of-fit Test

Antonin Schrab , Benjamin Guedj , Arthur Gretton
Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès hal-03554423 v2
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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-03282597 v2

Recommendation of content to mitigate the echo chamber effect

Antoine Vendeville , Anastasios Giovanidis , Effrosyni Papanastasiou , Benjamin Guedj
Conference on Complex Systems, Oct 2022, Palma de Mallorca, Spain
Communication dans un congrès hal-04010528 v1
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On PAC-Bayesian reconstruction guarantees for VAEs

Badr-Eddine Chérief-Abdellatif , Yuyang Shi , Arnaud Doucet , Benjamin Guedj
25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Mar 2022, Valencia / Virtual, Spain
Communication dans un congrès hal-03587178 v1

Opening up echo chambers via optimal content recommendation

Antoine Vendeville , Anastasios Giovanidis , Effrosyni Papanastasiou , Benjamin Guedj
The 11th International Conference on Complex Networks and their Applications (CNA'22), Nov 2022, Palermo, Italy
Communication dans un congrès hal-03691800 v1
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Efficient Aggregated Kernel Tests using Incomplete U-statistics

Antonin Schrab , Ilmun Kim , Benjamin Guedj , Arthur Gretton
Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès hal-03701416 v1
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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. ⟨10.48550/arXiv.2111.07737⟩
Communication dans un congrès hal-03430821 v1
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Online $k$-means Clustering

Vincent Cohen-Addad , Benjamin Guedj , Varun Kanade , Guy Rom
AISTATS 2021 - The 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual, France. ⟨10.48550/arXiv.1909.06861⟩
Communication dans un congrès hal-02401290 v1
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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard et al.
NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩
Communication dans un congrès hal-03278470 v1
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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-02872161 v3
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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-02883728 v1
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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-02086856 v2
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PAC-Bayesian Contrastive Unsupervised Representation Learning

Kento Nozawa , Pascal Germain , Benjamin Guedj
UAI 2020 - Conference on Uncertainty in Artificial Intelligence, Aug 2020, Toronto, Canada
Communication dans un congrès hal-02401282 v1
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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-02064396 v1
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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-01779989 v1
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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
Communication dans un congrès hal-02139432 v2
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PAC-Bayes Un-Expected Bernstein Inequality

Zakaria Mhammedi , Peter Grünwald , Benjamin Guedj
NeurIPS 2019, Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02401295 v1

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-01419755 v1

VarBUQ: Bayesian uncertainty quantification for anaerobic digestion models

Antoine Picard-Weibel , Gabriel Capson-Tojo , Benjamin Guedj , Roman Moscoviz
18. IWA World Conference on Anaerobic Digestion (AD18), Jun 2024, Istanbul, Turkey. pp.AD-172
Poster de conférence hal-04644598 v1
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Cluster-Specific Predictions with Multi-Task Gaussian Processes

Arthur Leroy , Pierre Latouche , Benjamin Guedj , Servane Gey
International Conference on Machine Learning, Jul 2023, Honolulu, United States.
Poster de conférence hal-04910480 v1
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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 de conférence hal-02482354 v1
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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-04592670 v1
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MMD Aggregated Two-Sample Test

Antonin Schrab , Ilmun Kim , Mélisande Albert , Béatrice Laurent , Benjamin Guedj et al.
Journal of Machine Learning Research, 2023, 24 (194), pp.1-81
Article dans une revue hal-03408976 v3
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Collective intelligence is needed to ensure beneficial Artificial Intelligence

Saadi Lahlou , Estevam Las Casas , Olivier Bouin , Raouf Boucekkine , Eliezer Rabinovici et al.
Proceedings of the Paris Institute for Advanced Study, 2023, ⟨10.5281/zenodo.13588573⟩
Article dans une revue hal-04788693 v1
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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-03815101 v3
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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, 2023, 24 (5), pp.1-49
Article dans une revue hal-03009276 v3
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MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean

Arthur Leroy , Pierre Latouche , Benjamin Guedj , Servane Gey
Machine Learning, 2022, ⟨10.1007/s10994-022-06172-1⟩
Article dans une revue hal-02904446 v2
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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-03024720 v1
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PAC-Bayes unleashed: generalisation bounds with unbounded losses

Maxime Haddouche , Benjamin Guedj , Omar Rivasplata , John Shawe-Taylor
Article dans une revue hal-02872173 v1
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Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly

Benjamin Guedj , Le Li
Article dans une revue hal-01796011 v2
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Still no free lunches: the price to pay for tighter PAC-Bayes bounds

Benjamin Guedj , Louis Pujol
Article dans une revue hal-02401286 v1
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Forecasting elections results via the voter model with stubborn nodes

Antoine Vendeville , Benjamin Guedj , Shi Zhou
Applied Network Science, 2021, 6 (1), pp.1. ⟨10.1007/s41109-020-00342-7⟩
Article dans une revue hal-02946434 v2
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Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks

Felix Biggs , Benjamin Guedj
Article dans une revue hal-02879216 v1
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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-02570875 v1
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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-02443097 v2
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Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria

Pierre Alliez , Roberto Di Cosmo , Benjamin Guedj , Alain Girault , Mohand-Said Hacid et al.
Computing in Science and Engineering, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩
Article dans une revue hal-02135891 v2
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Simpler PAC-Bayesian Bounds for Hostile Data

Pierre Alquier , Benjamin Guedj
Machine Learning, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩
Article dans une revue hal-01385064 v3
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PAC-Bayesian High Dimensional Bipartite Ranking

Benjamin Guedj , Sylvain Robbiano
Journal of Statistical Planning and Inference, 2018, ⟨10.1016/j.jspi.2017.10.010⟩
Article dans une revue hal-01226472 v1
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A Quasi-Bayesian Perspective to Online Clustering

Le Li , Benjamin Guedj , Sébastien Loustau
Electronic Journal of Statistics , 2018, ⟨10.1214/18-EJS1479⟩
Article dans une revue hal-01264233 v4
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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-01514059 v3
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An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization

Pierre Alquier , Benjamin Guedj
Mathematical Methods of Statistics, 2017, 26 (1), pp.55 - 67. ⟨10.3103/S1066530717010045⟩
Article dans une revue hal-01251878 v4
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COBRA: A Combined Regression Strategy

Gérard Biau , Aurélie Fischer , Benjamin Guedj , James Malley
Journal of Multivariate Analysis, 2016, ⟨10.1016/j.jmva.2015.04.007⟩
Article dans une revue hal-01361789 v3

On some recent advances on high dimensional Bayesian statistics

Nicolas Chopin , Sébastien Gadat , Benjamin Guedj , Arnaud Guyader , Elodie Vernet
ESAIM: Proceedings and Surveys, 2015, 51, pp.293-319. ⟨10.1051/proc/201551016⟩
Article dans une revue hal-04793409 v1
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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-00722969 v3
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A Primer on PAC-Bayesian Learning

Benjamin Guedj , John Shawe-Taylor
ICML 2019 - Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Beach, United States. 2019
Document associé à des manifestations scientifiques hal-02537094 v1
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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-00922353 v1