Actuariat et data mining: prise en compte des dépendances. - Arthur Charpentier (DMAS, 2005)

Dynamic dependence ordering for Archimedean copulas and distorted copulas. - Arthur Charpentier (Kybernetika, 2008)

Tails of multivariate Archimedean copulas. - Arthur Charpentier; Johan Segers (J. Multivar. Anal., 2009)

Estimating allocations for Value-at-Risk portfolio optimization. - Arthur Charpentier; Abder Oulidi (Math. Methods Oper. Res., 2009)

Beta kernel quantile estimators of heavy-tailed loss distributions. - Arthur Charpentier; Abder Oulidi (Stat. Comput., 2010)

Multivariate Archimax copulas. - Arthur Charpentier; Anne-Laure Fougères; Christian Genest; Johanna Neslehová (J. Multivar. Anal., 2014)

Kernel density estimation based on Ripley's correction. - Arthur Charpentier; Ewen Gallic (GeoInformatica, 2016)

Local Utility and Multivariate Risk Aversion. - Arthur Charpentier; Alfred Galichon; Marc Henry (Math. Oper. Res., 2016)

Extended Scale-Free Networks. - Arthur Charpentier; Emmanuel Flachaire (CoRR, 2019)

Optimal transport on large networks a practitioner guide. - Arthur Charpentier; Alfred Galichon; Lucas Vernet (CoRR, 2019)

Reinforcement Learning in Economics and Finance. - Arthur Charpentier; Romuald Elie; Carl Remlinger (CoRR, 2020)

COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. - Arthur Charpentier; Romuald Elie; Mathieu Laurière; Viet Chi Tran (CoRR, 2020)

Personalization as a promise: Can Big Data change the practice of insurance? - Laurence Barry; Arthur Charpentier (Big Data Soc., 2020)

Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning. - Michel Denuit; Arthur Charpentier; Julien Trufin (CoRR, 2021)

Collaborative Insurance Sustainability and Network Structure. - Arthur Charpentier; Lariosse Kouakou; Matthias Löwe; Philipp Ratz; Franck Vermet (CoRR, 2021)

Principal component analysis: A generalized Gini approach. - Arthur Charpentier; Stéphane Mussard; Téa Ouraga (Eur. J. Oper. Res., 2021)

A fair pricing model via adversarial learning. - Vincent Grari; Arthur Charpentier; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2022)

The Fairness of Machine Learning in Insurance: New Rags for an Old Man? - Laurence Barry; Arthur Charpentier (CoRR, 2022)

Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach. - Menna Hassan; Nourhan Sakr; Arthur Charpentier (CoRR, 2022)

Data Augmentation for Imbalanced Regression. - Samuel Stocksieker; Denys Pommeret; Arthur Charpentier (AISTATS, 2023)

Mitigating Discrimination in Insurance with Wasserstein Barycenters. - Arthur Charpentier; François Hu; Philipp Ratz (PKDD/ECML Workshops (1), 2023)

Fairness in Multi-Task Learning via Wasserstein Barycenters. - François Hu; Philipp Ratz; Arthur Charpentier (ECML/PKDD (2), 2023)

Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory. - Samuel Stocksieker; Denys Pommeret; Arthur Charpentier (CoRR, 2023)

Addressing Fairness and Explainability in Image Classification Using Optimal Transport. - Philipp Ratz; François Hu; Arthur Charpentier (CoRR, 2023)

Parametric Fairness with Statistical Guarantees. - François Hu; Philipp Ratz; Arthur Charpentier (CoRR, 2023)

Measuring and Mitigating Biases in Motor Insurance Pricing. - Mulah Moriah; Franck Vermet; Arthur Charpentier (CoRR, 2023)

Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. - Sebastian Klein; Nora Wuerdemann; Imke Demers; Christopher Kopp; Jennifer Quantius; Arthur Charpentier; Yuri Tolkach; Klaus Brinker; Shachi Jenny Sharma; Julie George; Jochen Hess; Fabian Stögbauer; et al. (npj Digit. Medicine, 2023)

Melting contestation: insurance fairness and machine learning. - Laurence Barry; Arthur Charpentier (Ethics Inf. Technol., 2023)

A Sequentially Fair Mechanism for Multiple Sensitive Attributes. - François Hu; Philipp Ratz; Arthur Charpentier (AAAI, 2024)

Data Augmentation with Variational Autoencoder for Imbalanced Dataset. - Samuel Stocksieker; Denys Pommeret; Arthur Charpentier (ICONIP (2), 2024)

Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets. - Samuel Stocksieker; Denys Pommeret; Arthur Charpentier (IJCNN, 2024)

Geospatial Disparities: A Case Study on Real Estate Prices in Paris. - Agathe Fernandes Machado; François Hu; Philipp Ratz; Ewen Gallic; Arthur Charpentier (CoRR, 2024)

From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration. - Agathe Fernandes Machado; Arthur Charpentier; Emmanuel Flachaire; Ewen Gallic; François Hu (CoRR, 2024)

Probabilistic Scores of Classifiers, Calibration is not Enough. - Agathe Fernandes Machado; Arthur Charpentier; Emmanuel Flachaire; Ewen Gallic; François Hu (CoRR, 2024)

Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory: Application in Regression. - Samuel Stocksieker; Denys Pommeret; Arthur Charpentier (Trans. Mach. Learn. Res., 2024)

Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness. - Agathe Fernandes Machado; Arthur Charpentier; Ewen Gallic (AAAI, 2025)

Artificial intelligence and personalization of insurance: Failure or delayed ignition? - Arthur Charpentier; Xavier Vamparys (Big Data Soc., 2025)

The multi-armed bandit problem under the mean-variance setting. - Hongda Hu; Arthur Charpentier; Mario Ghossoub; Alexander Schied (Eur. J. Oper. Res., 2025)

Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport. - Agathe Fernandes Machado; Arthur Charpentier; Ewen Gallic (CoRR, 2025)

Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies. - Suzie Grondin; Arthur Charpentier; Philipp Ratz (CoRR, 2025)

KNN and K-means in Gini Prametric Spaces. - Cassandra Mussard; Arthur Charpentier; Stéphane Mussard (CoRR, 2025)

EquiPy: Sequential Fairness using Optimal Transport in Python. - Agathe Fernandes Machado; Suzie Grondin; Philipp Ratz; Arthur Charpentier; François Hu (CoRR, 2025)

Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals. - Marouane Il Idrissi; Agathe Fernandes Machado; Ewen Gallic; Arthur Charpentier (CoRR, 2025)

Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models. - Marouane Il Idrissi; Agathe Fernandes Machado; Arthur Charpentier (CoRR, 2025)