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Books and Theses
- 2020
[b1]Baptiste Barreau:
Machine Learning for Financial Products Recommendation. (Apprentissage Statistique pour la Recommandation de Produits Financiers). University of Paris-Saclay, France, 2020
Journal Articles
- 2020
- [j1]Baptiste Barreau, Laurent Carlier, Damien Challet:
Deep prediction of investor interest: A supervised clustering approach. Algorithmic Finance 8(3-4): 77-89 (2020)
Conference and Workshop Papers
- 2024
- [c3]Ashraf Ghiye
, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis:
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation. ICAIF 2024: 231-238 - 2023
- [c2]Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis:
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. RecSys 2023: 798-804 - 2020
- [c1]Baptiste Barreau, Laurent Carlier:
History-Augmented Collaborative Filtering for Financial Recommendations. RecSys 2020: 492-497
Informal and Other Publications
- 2023
- [i3]Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis:
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. CoRR abs/2308.01208 (2023) - 2021
- [i2]Baptiste Barreau, Laurent Carlier:
History-Augmented Collaborative Filtering for Financial Recommendations. CoRR abs/2102.13503 (2021) - 2019
- [i1]Baptiste Barreau, Laurent Carlier, Damien Challet:
Deep Prediction of Investor Interest: a Supervised Clustering Approach. CoRR abs/1909.05289 (2019)
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