Arthur Charpentier

66 papers A* 5A 2B 3Journal 52Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Procedure: Substantive Fairness in Conformal Prediction. CoRR Pengqi Liu, Zijun Yu, Mouloud Belbahri, Arthur Charpentier, Masoud Asgharian, Jesse C. Cresswell
2026	A*	`conf`	Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract). AAAI Bertille Tierny, Arthur Charpentier, François Hu
2026	A*	`conf`	Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint. AAAI Bertille Tierny, Arthur Charpentier, François Hu
2026	J	`jnl`	Decomposing Probabilistic Scores: Reliability, Information Loss and Uncertainty. CoRR Arthur Charpentier, Agathe Fernandes Machado
2026	J	`jnl`	Fair regression under localized demographic parity constraints. CoRR Arthur Charpentier, Christophe Denis, Romuald Elie, Mohamed Hebiri, François Hu
2026	J	`jnl`	Federated Measurement of Demographic Disparities from Quantile Sketches. CoRR Arthur Charpentier, Agathe Fernandes Machado, Olivier Côté, François Hu
2026	J	`jnl`	Sequential Transport for Causal Mediation Analysis. CoRR Agathe Fernandes Machado, Iryna Voitsitska, Arthur Charpentier, Ewen Gallic
2025	J	`jnl`	Artificial intelligence and personalization of insurance: Failure or delayed ignition? Big Data Soc. Arthur Charpentier, Xavier Vamparys
2025	J	`jnl`	Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies. CoRR Suzie Grondin, Arthur Charpentier, Philipp Ratz
2025	J	`jnl`	Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models. CoRR Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier
2025	J	`jnl`	Decomposing Direct and Indirect Biases in Linear Models under Demographic Parity Constraint. CoRR Bertille Tierny, Arthur Charpentier, François Hu
2025	B	`conf`	Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression. KES Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2025	J	`jnl`	Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression. CoRR Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2025	J	`jnl`	EquiPy: Sequential Fairness using Optimal Transport in Python. CoRR Agathe Fernandes Machado, Suzie Grondin, Philipp Ratz, Arthur Charpentier, François Hu
2025	A	`conf`	KNN and K-Means in Gini Prametric Spaces. ECAI Cassandra Mussard, Arthur Charpentier, Stéphane Mussard
2025	J	`jnl`	KNN and K-means in Gini Prametric Spaces. CoRR Cassandra Mussard, Arthur Charpentier, Stéphane Mussard
2025	B	`conf`	KurtHGR: A Neural Maximal Correlation for Tabular Datasets. KES Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2025	J	`jnl`	Linear Risk Sharing on Networks. CoRR Arthur Charpentier, Philipp Ratz
2025	A*	`conf`	Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport. IJCAI Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier
2025	J	`jnl`	Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport. CoRR Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
2025	J	`jnl`	Perceived Fairness in Networks. CoRR Arthur Charpentier
2025	A*	`conf`	Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness. AAAI Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
2025	J	`jnl`	The multi-armed bandit problem under the mean-variance setting. Eur. J. Oper. Res. Hongda Hu, Arthur Charpentier, Mario Ghossoub, Alexander Schied
2025	J	`jnl`	Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals. CoRR Marouane Il Idrissi, Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier
2024	A*	`conf`	A Sequentially Fair Mechanism for Multiple Sensitive Attributes. AAAI François Hu, Philipp Ratz, Arthur Charpentier
2024	B	`conf`	Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets. IJCNN Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024	J	`jnl`	Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets. CoRR Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024	—	`conf`	Data Augmentation with Variational Autoencoder for Imbalanced Dataset. ICONIP (2) Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024	J	`jnl`	Data Augmentation with Variational Autoencoder for Imbalanced Dataset. CoRR Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024	J	`jnl`	From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration. CoRR Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu
2024	J	`jnl`	Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory: Application in Regression. Trans. Mach. Learn. Res. Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2024	J	`jnl`	Geospatial Disparities: A Case Study on Real Estate Prices in Paris. CoRR Agathe Fernandes Machado, François Hu, Philipp Ratz, Ewen Gallic, Arthur Charpentier
2024	J	`jnl`	Probabilistic Scores of Classifiers, Calibration is not Enough. CoRR Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu
2024	J	`jnl`	Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness. CoRR Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
2023	J	`jnl`	A Sequentially Fair Mechanism for Multiple Sensitive Attributes. CoRR François Hu, Philipp Ratz, Arthur Charpentier
2023	J	`jnl`	Addressing Fairness and Explainability in Image Classification Using Optimal Transport. CoRR Philipp Ratz, François Hu, Arthur Charpentier
2023	A	`conf`	Data Augmentation for Imbalanced Regression. AISTATS Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2023	J	`jnl`	Data Augmentation for Imbalanced Regression. CoRR Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2023	—	`conf`	Fairness in Multi-Task Learning via Wasserstein Barycenters. ECML/PKDD (2) François Hu, Philipp Ratz, Arthur Charpentier
2023	J	`jnl`	Fairness in Multi-Task Learning via Wasserstein Barycenters. CoRR François Hu, Philipp Ratz, Arthur Charpentier
2023	J	`jnl`	Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory. CoRR Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
2023	J	`jnl`	Measuring and Mitigating Biases in Motor Insurance Pricing. CoRR Mulah Moriah, Franck Vermet, Arthur Charpentier
2023	J	`jnl`	Melting contestation: insurance fairness and machine learning. Ethics Inf. Technol. Laurence Barry, Arthur Charpentier
2023	—	`conf`	Mitigating Discrimination in Insurance with Wasserstein Barycenters. PKDD/ECML Workshops (1) Arthur Charpentier, François Hu, Philipp Ratz
2023	J	`jnl`	Mitigating Discrimination in Insurance with Wasserstein Barycenters. CoRR Arthur Charpentier, François Hu, Philipp Ratz
2023	J	`jnl`	Parametric Fairness with Statistical Guarantees. CoRR François Hu, Philipp Ratz, Arthur Charpentier
2023	J	`jnl`	Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. npj Digit. Medicine 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, Martin Lacko, Marijn Struijlaart, Mari F. C. M. van den Hout, Steffen Wagner, Claus Wittekindt, Christine Langer, Christoph Arens, Reinhard Büttner, Alexander Quaas, Hans Christian Reinhardt, Ernst-Jan Speel, Jens Peter Klussmann
2022	J	`jnl`	A fair pricing model via adversarial learning. CoRR Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki
2022	J	`jnl`	Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach. CoRR Menna Hassan, Nourhan Sakr, Arthur Charpentier
2022	J	`jnl`	The Fairness of Machine Learning in Insurance: New Rags for an Old Man? CoRR Laurence Barry, Arthur Charpentier
2021	J	`jnl`	Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning. CoRR Michel Denuit, Arthur Charpentier, Julien Trufin
2021	J	`jnl`	Collaborative Insurance Sustainability and Network Structure. CoRR Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet
2021	J	`jnl`	Principal component analysis: A generalized Gini approach. Eur. J. Oper. Res. Arthur Charpentier, Stéphane Mussard, Téa Ouraga
2020	J	`jnl`	COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. CoRR Arthur Charpentier, Romuald Elie, Mathieu Laurière, Viet Chi Tran
2020	J	`jnl`	Personalization as a promise: Can Big Data change the practice of insurance? Big Data Soc. Laurence Barry, Arthur Charpentier
2020	J	`jnl`	Reinforcement Learning in Economics and Finance. CoRR Arthur Charpentier, Romuald Elie, Carl Remlinger
2019	J	`jnl`	Extended Scale-Free Networks. CoRR Arthur Charpentier, Emmanuel Flachaire
2019	J	`jnl`	Optimal transport on large networks a practitioner guide. CoRR Arthur Charpentier, Alfred Galichon, Lucas Vernet
2016	J	`jnl`	Kernel density estimation based on Ripley's correction. GeoInformatica Arthur Charpentier, Ewen Gallic
2016	J	`jnl`	Local Utility and Multivariate Risk Aversion. Math. Oper. Res. Arthur Charpentier, Alfred Galichon, Marc Henry
2014	J	`jnl`	Multivariate Archimax copulas. J. Multivar. Anal. Arthur Charpentier, Anne-Laure Fougères, Christian Genest, Johanna Neslehová
2010	J	`jnl`	Beta kernel quantile estimators of heavy-tailed loss distributions. Stat. Comput. Arthur Charpentier, Abder Oulidi
2009	J	`jnl`	Estimating allocations for Value-at-Risk portfolio optimization. Math. Methods Oper. Res. Arthur Charpentier, Abder Oulidi
2009	J	`jnl`	Tails of multivariate Archimedean copulas. J. Multivar. Anal. Arthur Charpentier, Johan Segers
2008	J	`jnl`	Dynamic dependence ordering for Archimedean copulas and distorted copulas. Kybernetika Arthur Charpentier
2005	—	`conf`	Actuariat et data mining: prise en compte des dépendances. DMAS Arthur Charpentier