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ORCIDArthur Charpentier
Person information
- affiliation: University of Rennes 1, CREM, France
- affiliation: Université du Québec à Montréal (UQAM), Canada
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2020 – today
- 2025
[j13]Hongda Hu
, Arthur Charpentier, Mario Ghossoub, Alexander Schied:
The multi-armed bandit problem under the mean-variance setting. Eur. J. Oper. Res. 324(1): 168-182 (2025)- [c8]Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic:
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness. AAAI 2025: 19358-19366 - [i29]Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic:
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport. CoRR abs/2501.15549 (2025) - [i28]Suzie Grondin, Arthur Charpentier, Philipp Ratz:
Beyond Human Intervention: Algorithmic Collusion through Multi-Agent Learning Strategies. CoRR abs/2501.16935 (2025) - [i27]Cassandra Mussard, Arthur Charpentier, Stéphane Mussard:
KNN and K-means in Gini Prametric Spaces. CoRR abs/2501.18028 (2025) - [i26]Agathe Fernandes Machado, Suzie Grondin, Philipp Ratz, Arthur Charpentier, François Hu:
EquiPy: Sequential Fairness using Optimal Transport in Python. CoRR abs/2503.09866 (2025) - [i25]Marouane Il Idrissi, Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier:
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals. CoRR abs/2505.13118 (2025) - [i24]Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier:
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models. CoRR abs/2506.13900 (2025) - 2024
- [j12]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) - [c7]François Hu, Philipp Ratz, Arthur Charpentier:
A Sequentially Fair Mechanism for Multiple Sensitive Attributes. AAAI 2024: 12502-12510 - [c6]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Data Augmentation with Variational Autoencoder for Imbalanced Dataset. ICONIP (2) 2024: 354-370 - [c5]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets. IJCNN 2024: 1-10 - [i23]Agathe Fernandes Machado, François Hu, Philipp Ratz, Ewen Gallic, Arthur Charpentier:
Geospatial Disparities: A Case Study on Real Estate Prices in Paris. CoRR abs/2401.16197 (2024) - [i22]Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu:
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration. CoRR abs/2402.07790 (2024) - [i21]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets. CoRR abs/2403.15790 (2024) - [i20]Agathe Fernandes Machado, Arthur Charpentier, Emmanuel Flachaire, Ewen Gallic, François Hu:
Probabilistic Scores of Classifiers, Calibration is not Enough. CoRR abs/2408.03421 (2024) - [i19]Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic:
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness. CoRR abs/2408.03425 (2024) - [i18]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Data Augmentation with Variational Autoencoder for Imbalanced Dataset. CoRR abs/2412.07039 (2024) - 2023
- [j11]Laurence Barry, Arthur Charpentier:
Melting contestation: insurance fairness and machine learning. Ethics Inf. Technol. 25(4): 49 (2023) - [j10]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) - [c4]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Data Augmentation for Imbalanced Regression. AISTATS 2023: 7774-7799 - [c3]Arthur Charpentier, François Hu, Philipp Ratz:
Mitigating Discrimination in Insurance with Wasserstein Barycenters. PKDD/ECML Workshops (1) 2023: 161-177 - [c2]François Hu, Philipp Ratz, Arthur Charpentier:
Fairness in Multi-Task Learning via Wasserstein Barycenters. ECML/PKDD (2) 2023: 295-312 - [i17]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Data Augmentation for Imbalanced Regression. CoRR abs/2302.09288 (2023) - [i16]François Hu, Philipp Ratz, Arthur Charpentier:
Fairness in Multi-Task Learning via Wasserstein Barycenters. CoRR abs/2306.10155 (2023) - [i15]Arthur Charpentier, François Hu, Philipp Ratz:
Mitigating Discrimination in Insurance with Wasserstein Barycenters. CoRR abs/2306.12912 (2023) - [i14]Samuel Stocksieker, Denys Pommeret, Arthur Charpentier:
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory. CoRR abs/2308.02966 (2023) - [i13]Philipp Ratz, François Hu, Arthur Charpentier:
Addressing Fairness and Explainability in Image Classification Using Optimal Transport. CoRR abs/2308.11090 (2023) - [i12]François Hu, Philipp Ratz, Arthur Charpentier:
A Sequentially Fair Mechanism for Multiple Sensitive Attributes. CoRR abs/2309.06627 (2023) - [i11]François Hu, Philipp Ratz, Arthur Charpentier:
Parametric Fairness with Statistical Guarantees. CoRR abs/2310.20508 (2023) - [i10]Mulah Moriah, Franck Vermet, Arthur Charpentier:
Measuring and Mitigating Biases in Motor Insurance Pricing. CoRR abs/2311.11900 (2023) - 2022
- [i9]Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki:
A fair pricing model via adversarial learning. CoRR abs/2202.12008 (2022) - [i8]Laurence Barry, Arthur Charpentier:
The Fairness of Machine Learning in Insurance: New Rags for an Old Man? CoRR abs/2205.08112 (2022) - [i7]Menna Hassan, Nourhan Sakr, Arthur Charpentier:
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach. CoRR abs/2207.01010 (2022) - 2021
- [j9]Arthur Charpentier, Stéphane Mussard, Téa Ouraga:
Principal component analysis: A generalized Gini approach. Eur. J. Oper. Res. 294(1): 236-249 (2021) - [i6]Michel Denuit, Arthur Charpentier, Julien Trufin:
Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning. CoRR abs/2103.03635 (2021) - [i5]Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet:
Collaborative Insurance Sustainability and Network Structure. CoRR abs/2107.02764 (2021) - 2020
- [j8]Laurence Barry, Arthur Charpentier:
Personalization as a promise: Can Big Data change the practice of insurance? Big Data Soc. 7(1): 205395172093514 (2020) - [i4]Arthur Charpentier, Romuald Elie, Carl Remlinger:
Reinforcement Learning in Economics and Finance. CoRR abs/2003.10014 (2020) - [i3]Arthur Charpentier, Romuald Elie, Mathieu Laurière, Viet Chi Tran:
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability. CoRR abs/2005.06526 (2020)
2010 – 2019
- 2019
- [i2]Arthur Charpentier, Emmanuel Flachaire:
Extended Scale-Free Networks. CoRR abs/1905.10267 (2019) - [i1]Arthur Charpentier, Alfred Galichon, Lucas Vernet:
Optimal transport on large networks a practitioner guide. CoRR abs/1907.02320 (2019) - 2016
- [j7]Arthur Charpentier, Ewen Gallic:
Kernel density estimation based on Ripley's correction. GeoInformatica 20(1): 95-116 (2016) - [j6]Arthur Charpentier, Alfred Galichon, Marc Henry:
Local Utility and Multivariate Risk Aversion. Math. Oper. Res. 41(2): 466-476 (2016) - 2014
- [j5]Arthur Charpentier, Anne-Laure Fougères, Christian Genest, Johanna Neslehová:
Multivariate Archimax copulas. J. Multivar. Anal. 126: 118-136 (2014) - 2010
- [j4]Arthur Charpentier, Abder Oulidi:
Beta kernel quantile estimators of heavy-tailed loss distributions. Stat. Comput. 20(1): 35-55 (2010)
2000 – 2009
- 2009
- [j3]Arthur Charpentier, Johan Segers:
Tails of multivariate Archimedean copulas. J. Multivar. Anal. 100(7): 1521-1537 (2009) - [j2]Arthur Charpentier, Abder Oulidi:
Estimating allocations for Value-at-Risk portfolio optimization. Math. Methods Oper. Res. 69(3): 395-410 (2009) - 2008
- [j1]Arthur Charpentier:
Dynamic dependence ordering for Archimedean copulas and distorted copulas. Kybernetika 44(6): 777-794 (2008) - 2005
- [c1]Arthur Charpentier:
Actuariat et data mining: prise en compte des dépendances. DMAS 2005: 145-167
Coauthor Index
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last updated on 2025-07-15 21:47 CEST by the dblp team
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