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hal-01419755v1  Conference papers
Christophe BiernackiGwenaelle CastellanStéphane ChrétienBenjamin GuedjVincent Vandewalle. Pitfalls in Mixtures from the Clustering Angle
Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France
hal-01514059v3  Journal articles
Benjamin GuedjBhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Journal of Machine Learning Research, Microtome Publishing, 2018, 18, pp.1 - 5
hal-01264233v4  Journal articles
Le LiBenjamin GuedjSébastien Loustau. A Quasi-Bayesian Perspective to Online Clustering
Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, ⟨10.1214/18-EJS1479⟩
hal-01983732v3  Preprints, Working Papers, ...
Benjamin Guedj. A Primer on PAC-Bayesian Learning
hal-02401282v1  Conference papers
Kento NozawaPascal GermainBenjamin Guedj. PAC-Bayesian Contrastive Unsupervised Representation Learning
UAI 2020 - Conference on Uncertainty in Artificial Intelligence, Aug 2020, Toronto, Canada
hal-02139432v2  Conference papers
Gaël LetartePascal GermainBenjamin GuedjFrançois Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
hal-02064396v1  Conference papers
Stéphane ChrétienBenjamin Guedj. Revisiting clustering as matrix factorisation on the Stiefel manifold
LOD 2020 - the Sixth International Conference on Machine Learning, Optimisation and Data Science, Jul 2020, Siena, Italy
hal-02883728v1  Conference papers
Zakaria MhammediBenjamin GuedjRobert C. Williamson. PAC-Bayesian Bound for the Conditional Value at Risk
NeurIPS 2020, Dec 2020, Vancouver / Virtual, Canada
hal-02086856v2  Conference papers
Benjamin GuedjJuliette Rengot. Non-linear aggregation of filters to improve image denoising
Computing Conference 2020, Jul 2020, London, United Kingdom
hal-02401295v1  Conference papers
Zakaria MhammediPeter GrünwaldBenjamin Guedj. PAC-Bayes Un-Expected Bernstein Inequality
NeurIPS 2019, Dec 2019, Vancouver, Canada
hal-02537094v1  Documents associated with scientific events
Benjamin GuedjJohn Shawe-Taylor. A Primer on PAC-Bayesian Learning
ICML 2019 - Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Beach, United States. 2019
hal-01385064v3  Journal articles
Pierre AlquierBenjamin Guedj. Simpler PAC-Bayesian Bounds for Hostile Data
Machine Learning, Springer Verlag, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩
hal-01251878v4  Journal articles
Pierre AlquierBenjamin Guedj. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization
Mathematical Methods of Statistics, Allerton Press, Springer (link), 2017, 26 (1), pp.55 - 67. ⟨10.3103/S1066530717010045⟩
hal-02401290v1  Conference papers
Vincent Cohen-AddadBenjamin GuedjVarun KanadeGuy Rom. Online $k$-means Clustering
AISTATS 2021 - The 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual, France
hal-02482354v1  Poster communications
Gaël LetartePascal GermainBenjamin GuedjFrançois Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
ML with guarantees -- NeurIPS 2019 workshop, Dec 2019, Vancouver, Canada