Benjamin Guedj

Publications

Pré-publication, Document de travail (29)

Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters Dominic Weisser,Chloé Hashimoto-Cullen,Benjamin Guedj 2026 Pré-publication, Document de travail hal-05480100v1
RestoreAI - Pattern-based Risk Estimation Of Remaining Explosives Björn Kischelewski,Benjamin Guedj,David Wahl 2025 Pré-publication, Document de travail hal-05202821v1
How good is PAC-Bayes at explaining generalisation? Antoine Picard-Weibel,Eugenio Clerico,Roman Moscoviz,Benjamin Guedj 2025 Pré-publication, Document de travail hal-04989460v1
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-04603209v3
Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help? Damien Rouchouse,Antoine Gonon,Rémi Gribonval,Benjamin Guedj 2025 Pré-publication, Document de travail hal-05290479v1
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks Valentin Kilian,Benjamin Guedj,François Caron 2025 Pré-publication, Document de travail hal-05080529v1
Predicting Electricity Consumption with Random Walks on Gaussian Processes Chloé Hashimoto-Cullen,Benjamin Guedj 2024 Pré-publication, Document de travail hal-04694270v1
Closed-form Filtering for Non-linear Systems Théophile Cantelobre,Carlo Ciliberto,Benjamin Guedj,Alessandro Rudi 2024 Pré-publication, Document de travail hal-04458936v1
Tighter Generalisation Bounds via Interpolation Paul Viallard,Maxime Haddouche,Umut Şimşekli,Benjamin Guedj 2024 Pré-publication, Document de travail hal-04456925v1
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation Maxime Haddouche,Benjamin Guedj 2023 Pré-publication, Document de travail hal-04080080v2
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic,Maxime Haddouche,Benjamin Guedj 2023 Pré-publication, Document de travail hal-04260486v1
Comparing Comparators in Generalization Bounds Fredrik Hellström,Benjamin Guedj 2023 Pré-publication, Document de travail hal-04259101v1
Optimistic Dynamic Regret Bounds Maxime Haddouche,Benjamin Guedj,Olivier Wintenberger 2023 Pré-publication, Document de travail hal-03953310v1
A note on regularised NTK dynamics with an application to PAC-Bayesian training Eugenio Clerico,Benjamin Guedj 2023 Pré-publication, Document de travail hal-04358260v1
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes Fredrik Hellström,Giuseppe Durisi,Benjamin Guedj,Maxim Raginsky 2023 Pré-publication, Document de travail hal-04205539v1
On change of measure inequalities for $f$-divergences Antoine Picard-Weibel,Benjamin Guedj 2022 Pré-publication, Document de travail hal-03573465v1
On Margins and Generalisation for Voting Classifiers Felix Biggs,Valentina Zantedeschi,Benjamin Guedj 2022 Pré-publication, Document de travail hal-03700887v1
Online PAC-Bayes Learning Maxime Haddouche,Benjamin Guedj 2022 Pré-publication, Document de travail hal-03701105v1
Measuring dissimilarity with diffeomorphism invariance Théophile Cantelobre,Carlo Ciliberto,Benjamin Guedj,Alessandro Rudi 2022 Pré-publication, Document de travail hal-03573479v1
Discord in the voter model for complex networks Antoine Vendeville,Shi Zhou,Benjamin Guedj 2022 Pré-publication, Document de travail hal-03600429v1
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
Learning PAC-Bayes Priors for Probabilistic Neural Networks María Pérez-Ortiz,Omar Rivasplata,Benjamin Guedj,Matthew Gleeson,Jingyu Zhanget al. 2021 Pré-publication, Document de travail hal-03351794v1
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-03084598v1
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
A Primer on PAC-Bayesian Learning Benjamin Guedj 2019 Pré-publication, Document de travail hal-01983732v3
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
Stability revisited: new generalisation bounds for the Leave-one-Out Alain Celisse,Benjamin Guedj 2016 Pré-publication, Document de travail hal-01355365v1
Clustering en ligne : le point de vue PAC-bayésien Le Li,Benjamin Guedj,Sébastien Loustau 2016 Pré-publication, Document de travail hal-01264934v1

Rapport (4)

Réflexions sur l'usage de l'IA générative pour les métiers de la recherche Soraya Arias,Michel Bergmann,Fabien Campillo,Marie-Agnès Enard,Christian Fabreet al. Inria. 2025, pp.1-10 Rapport hal-05187992v1
Reflections on the Use of Generative AI for Research Professions Soraya Arias,Michel Bergmann,Fabien Campillo,Marie-Agnès Enard,Christian Fabreet al. Inria. 2025 Rapport hal-05188001v2
Franco-British Data Society : Women in STEM – Shaping the Future of AI and Education Benjamin Guedj,Séverine Trouillet Franco-British Data Society and British Embassy in Paris. 2025 Rapport hal-05287237v2
Indicateurs de suivi de l'activité scientifique de l'Inria Luce Brotcorne,Anne Canteaut,Aline Carneiro Viana,Céline Grandmont,Benjamin Guedjet al. [Rapport de recherche] Inria. 2020 Rapport (rapport de recherche) hal-03033764v1

Communication dans un congrès (26)

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-04455639v2
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-03815146v2
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel,Roman Moscoviz,Benjamin Guedj NeurIPS 2024, Dec 2024, Vancouver, Canada Communication dans un congrès hal-04731841v2
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-03573458v1
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-04273718v1
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-03953307v1
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi,Paul Viallard,Emilie Morvant,Rémi Emonet,Amaury Habrardet al. CAp 2022, Jul 2022, Vannes, France Communication dans un congrès hal-03703804v1
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-03554423v2
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-04010520v1
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
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-04010528v1
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-03587178v1
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-03701416v1
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-03691800v1
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-03430821v1
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-02401290v1
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi,Paul Viallard,Emilie Morvant,Rémi Emonet,Amaury Habrardet al. NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩ Communication dans un congrès hal-03278470v1
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
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
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
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-02401282v1
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
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
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-02139432v2
PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi,Peter Grünwald,Benjamin Guedj NeurIPS 2019, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02401295v1
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

Poster de conférence (3)

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-04644598v1
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-04910480v1
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-02482354v1

Article dans une revue (23)

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-04592670v1
Collective intelligence is needed to ensure beneficial Artificial Intelligence Saadi Lahlou,Estevam Las Casas,Olivier Bouin,Raouf Boucekkine,Eliezer Rabinoviciet al. Proceedings of the Paris Institute for Advanced Study, 2023, ⟨10.5281/zenodo.13588573⟩ Article dans une revue hal-04788693v1
MMD Aggregated Two-Sample Test Antonin Schrab,Ilmun Kim,Mélisande Albert,Béatrice Laurent,Benjamin Guedjet al. Journal of Machine Learning Research, 2023, 24 (194), pp.1-81 Article dans une revue hal-03408976v3
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
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-03009276v3
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-02904446v2
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
PAC-Bayes unleashed: generalisation bounds with unbounded losses Maxime Haddouche,Benjamin Guedj,Omar Rivasplata,John Shawe-Taylor Entropy, 2021, ⟨10.3390/e23101330⟩ Article dans une revue hal-02872173v1
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly Benjamin Guedj,Le Li Entropy, 2021, ⟨10.3390/e23111534⟩ Article dans une revue hal-01796011v2
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
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-02946434v2
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks Felix Biggs,Benjamin Guedj Entropy, 2021, ⟨10.3390/e23101280⟩ Article dans une revue hal-02879216v1
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
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
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria Pierre Alliez,Roberto Di Cosmo,Benjamin Guedj,Alain Girault,Mohand-Said Hacidet al. Computing in Science and Engineering, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩ Article dans une revue hal-02135891v2
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-01385064v3
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-01264233v4
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-01226472v1
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
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-01251878v4
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-01361789v3
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-04793409v1
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

Autre publication scientifique (1)

Covid-19 and AI: Unexpected Challenges and Lessons Benjamin Guedj 2021 Autre publication scientifique hal-03277494v2

Document associé à des manifestations scientifiques (1)

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-02537094v1

Thèse (1)

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