Charlotte Laclau
Charlotte Laclau
Verified email at univ-st-etienne.fr - Homepage
Title
Cited by
Cited by
Year
Co-clustering through optimal transport
C Laclau, I Redko, B Matei, Y Bennani, V Brault
International Conference on Machine Learning, 1955-1964, 2017
222017
KASANDR: a large-scale dataset with implicit feedback for recommendation
S Sidana, C Laclau, MR Amini, G Vandelle, A Bois-Crettez
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
192017
Hard and fuzzy diagonal co-clustering for document-term partitioning
C Laclau, M Nadif
Neurocomputing 193, 133-147, 2016
172016
User preference and embedding learning with implicit feedback for recommender systems
S Sidana, M Trofimov, O Horodnytskyi, C Laclau, Y Maximov, MR Amini
Data Mining and Knowledge Discovery 35 (2), 568-592, 2021
12*2021
Learning to recommend diverse items over implicit feedback on PANDOR
S Sidana, C Laclau, MR Amini
Proceedings of the 12th ACM Conference on Recommender Systems, 427-431, 2018
112018
Cross-lingual document retrieval using regularized Wasserstein distance
G Balikas, C Laclau, I Redko, MR Amini
European Conference on Information Retrieval, 398-410, 2018
102018
Diagonal latent block model for binary data
C Laclau, M Nadif
Statistics and Computing 27 (5), 1145-1163, 2017
62017
Noise-free latent block model for high dimensional data
C Laclau, V Brault
Data Mining and Knowledge Discovery 33 (2), 446-473, 2019
52019
Fuzzy co-clustering with automated variable weighting
C Laclau, FAT de Carvalho, M Nadif
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015
42015
All of the Fairness for Edge Prediction with Optimal Transport
C Laclau, I Redko, M Choudhary, C Largeron
International Conference on Artificial Intelligence and Statistics, 1774-1782, 2021
32021
Fast simultaneous clustering and feature selection for binary data
C Laclau, M Nadif
International Symposium on Intelligent Data Analysis, 192-202, 2014
32014
On Fair Cost Sharing Games in Machine Learning
I Redko, C Laclau
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4790-4797, 2019
22019
Diagonal Co-clustering Algorithm for Document-Word Partitioning
C Laclau, M Nadif
International Symposium on Intelligent Data Analysis, 170-180, 2015
22015
Apprentissage séquentiel de préférence utilisateurs pour les systèmes de recommandation
A Burashnikova, Y Maximov, M Clausel, C Laclau, F Iutzeler, MR Amini
CAp 2021-Conférence sur l'Apprentissage Automatique, 2021
2021
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
A Burashnikova, Y Maximov, M Clausel, C Laclau, F Iutzeler, MR Amini
Journal of Artificial Intelligence Research 71, 121-142, 2021
2021
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
N Vesseron, I Redko, C Laclau
International Conference on Artificial Intelligence and Statistics, 1765-1773, 2021
2021
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy
C Laclau, F Iutzeler, I Redko
arXiv preprint arXiv:2009.00365, 2020
2020
Modèle des blocs latents avec une classe de bruit
V Brault, C Laclau
50èmes Journées de Statistique, 2018
2018
Hard and fuzzy block clustering algorithms for high dimensional data
C Laclau
Sorbonne Paris Cité, 2016
2016
Supplementary material for the paper: Co-clustering through Optimal Transport
C Laclau, I Redko, B Matei, Y Bennani, V Brault
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Articles 1–20