Arthur Charpentier

According to our database, Arthur Charpentier authored at least 31 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets.

Samuel Stocksieker, Denys Pommeret, 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

Geospatial Disparities: A Case Study on Real Estate Prices in Paris.

Agathe Fernandes Machado, François Hu, Philipp Ratz, Ewen Gallic, Arthur Charpentier

CoRR, 2024

A Sequentially Fair Mechanism for Multiple Sensitive Attributes.

François Hu, Philipp Ratz, Arthur Charpentier

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Melting contestation: insurance fairness and machine learning.

Laurence Barry, Arthur Charpentier

Ethics Inf. Technol., December, 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, 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

npj Digit. Medicine, 2023

Measuring and Mitigating Biases in Motor Insurance Pricing.

Mulah Moriah, Franck Vermet, Arthur Charpentier

CoRR, 2023

Parametric Fairness with Statistical Guarantees.

François Hu, Philipp Ratz, Arthur Charpentier

CoRR, 2023

Addressing Fairness and Explainability in Image Classification Using Optimal Transport.

Philipp Ratz, François Hu, Arthur Charpentier

CoRR, 2023

Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory.

Samuel Stocksieker, Denys Pommeret, Arthur Charpentier

CoRR, 2023

Mitigating Discrimination in Insurance with Wasserstein Barycenters.

Arthur Charpentier, François Hu, Philipp Ratz

CoRR, 2023

Fairness in Multi-Task Learning via Wasserstein Barycenters.

François Hu, Philipp Ratz, Arthur Charpentier

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Data Augmentation for Imbalanced Regression.

Samuel Stocksieker, Denys Pommeret, Arthur Charpentier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach.

Menna Hassan, Nourhan Sakr, Arthur Charpentier

CoRR, 2022

The Fairness of Machine Learning in Insurance: New Rags for an Old Man?

Laurence Barry, Arthur Charpentier

CoRR, 2022

A fair pricing model via adversarial learning.

Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki

CoRR, 2022

2021

Principal component analysis: A generalized Gini approach.

Arthur Charpentier, Stéphane Mussard, Téa Ouraga

Eur. J. Oper. Res., 2021

Collaborative Insurance Sustainability and Network Structure.

Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet

CoRR, 2021

Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning.

Michel Denuit, Arthur Charpentier, Julien Trufin

CoRR, 2021

2020

Personalization as a promise: Can Big Data change the practice of insurance?

Laurence Barry, Arthur Charpentier

Big Data Soc., January, 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

Reinforcement Learning in Economics and Finance.

Arthur Charpentier, Romuald Elie, Carl Remlinger

CoRR, 2020

2019

Optimal transport on large networks a practitioner guide.

Arthur Charpentier, Alfred Galichon, Lucas Vernet

CoRR, 2019

Extended Scale-Free Networks.

Arthur Charpentier, Emmanuel Flachaire

CoRR, 2019

2016

Local Utility and Multivariate Risk Aversion.

Arthur Charpentier, Alfred Galichon, Marc Henry

Math. Oper. Res., 2016

Kernel density estimation based on Ripley's correction.

Arthur Charpentier, Ewen Gallic

GeoInformatica, 2016

2010

Beta kernel quantile estimators of heavy-tailed loss distributions.

Arthur Charpentier, Abder Oulidi

Stat. Comput., 2010

2009

Estimating allocations for Value-at-Risk portfolio optimization.

Arthur Charpentier, Abder Oulidi

Math. Methods Oper. Res., 2009

Tails of multivariate Archimedean copulas.

Arthur Charpentier, Johan Segers

J. Multivar. Anal., 2009

2008

Dynamic dependence ordering for Archimedean copulas and distorted copulas.

Arthur Charpentier

Kybernetika, 2008

2005

Actuariat et data mining: prise en compte des dépendances.

Arthur Charpentier

Proceedings of the Data Mining et Apprentissage Statistique : application en assurance, 2005