Arthur Charpentier

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 29

Top Topics

Learning From Imbalanced Data

Top Venues

Publications

Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory: Application in Regression. Trans. Mach. Learn. Res. 2024 (2024)
Agathe Fernandes Machado, François Hu, Philipp Ratz, Ewen Gallic, Arthur Charpentier
Geospatial Disparities: A Case Study on Real Estate Prices in Paris. CoRR (2024)
François Hu, Philipp Ratz, Arthur Charpentier
A Sequentially Fair Mechanism for Multiple Sensitive Attributes. AAAI (2024)
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets. CoRR (2024)
Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration. CoRR (2024)
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
Data Augmentation for Imbalanced Regression. CoRR (2023)
François Hu, Philipp Ratz, Arthur Charpentier
Fairness in Multi-Task Learning via Wasserstein Barycenters. ECML/PKDD (2) (2023)
Philipp Ratz, François Hu, Arthur Charpentier
Addressing Fairness and Explainability in Image Classification Using Optimal Transport. CoRR (2023)
François Hu, Philipp Ratz, Arthur Charpentier
A Sequentially Fair Mechanism for Multiple Sensitive Attributes. CoRR (2023)
Arthur Charpentier, François Hu, Philipp Ratz
Mitigating Discrimination in Insurance with Wasserstein Barycenters. CoRR (2023)
Mulah Moriah, Franck Vermet, Arthur Charpentier
Measuring and Mitigating Biases in Motor Insurance Pricing. CoRR (2023)
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory. CoRR (2023)
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
Data Augmentation for Imbalanced Regression. AISTATS (2023)
François Hu, Philipp Ratz, Arthur Charpentier
Parametric Fairness with Statistical Guarantees. CoRR (2023)
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
Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. npj Digit. Medicine 6 (2023)
Laurence Barry, Arthur Charpentier
Melting contestation: insurance fairness and machine learning. Ethics Inf. Technol. 25 (4) (2023)
François Hu, Philipp Ratz, Arthur Charpentier
Fairness in Multi-Task Learning via Wasserstein Barycenters. CoRR (2023)
Menna Hassan, Nourhan Sakr, Arthur Charpentier
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach. CoRR (2022)
Laurence Barry, Arthur Charpentier
The Fairness of Machine Learning in Insurance: New Rags for an Old Man? CoRR (2022)
Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet
Collaborative Insurance Sustainability and Network Structure. CoRR (2021)
Michel Denuit, Arthur Charpentier, Julien Trufin
Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning. CoRR (2021)
Arthur Charpentier, Stéphane Mussard, Téa Ouraga
Principal component analysis: A generalized Gini approach. Eur. J. Oper. Res. 294 (1) (2021)
Arthur Charpentier, Romuald Elie, Carl Remlinger
Reinforcement Learning in Economics and Finance. CoRR (2020)
Arthur Charpentier, Romuald Elie, Mathieu Laurière, Viet Chi Tran
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. CoRR (2020)
Laurence Barry, Arthur Charpentier
Personalization as a promise: Can Big Data change the practice of insurance? Big Data Soc. 7 (1) (2020)
Arthur Charpentier, Alfred Galichon, Lucas Vernet
Optimal transport on large networks a practitioner guide. CoRR (2019)
Arthur Charpentier, Emmanuel Flachaire
Extended Scale-Free Networks. CoRR (2019)
Arthur Charpentier, Ewen Gallic
Kernel density estimation based on Ripley's correction. GeoInformatica 20 (1) (2016)
Arthur Charpentier, Alfred Galichon, Marc Henry
Local Utility and Multivariate Risk Aversion. Math. Oper. Res. 41 (2) (2016)
Arthur Charpentier, Abder Oulidi
Beta kernel quantile estimators of heavy-tailed loss distributions. Stat. Comput. 20 (1) (2010)
Arthur Charpentier, Johan Segers
Tails of multivariate Archimedean copulas. J. Multivar. Anal. 100 (7) (2009)
Arthur Charpentier, Abder Oulidi
Estimating allocations for Value-at-Risk portfolio optimization. Math. Methods Oper. Res. 69 (3) (2009)
Arthur Charpentier
Dynamic dependence ordering for Archimedean copulas and distorted copulas. Kybernetika 44 (6) (2008)
Arthur Charpentier
Actuariat et data mining: prise en compte des dépendances. DMAS (2005)