Charlotte Laclau
Charlotte Laclau
Bestätigte E-Mail-Adresse bei univ-st-etienne.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Co-clustering through optimal transport
C Laclau, I Redko, B Matei, Y Bennani, V Brault
arXiv preprint arXiv:1705.06189, 2017
162017
Hard and fuzzy diagonal co-clustering for document-term partitioning
C Laclau, M Nadif
Neurocomputing 193, 133-147, 2016
142016
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
112017
Cross-lingual document retrieval using regularized Wasserstein distance
G Balikas, C Laclau, I Redko, MR Amini
European Conference on Information Retrieval, 398-410, 2018
82018
Diagonal latent block model for binary data
C Laclau, M Nadif
Statistics and Computing 27 (5), 1145-1163, 2017
62017
Representation learning and pairwise ranking for implicit feedback in recommendation systems
S Sidana, M Trofimov, O Horodnitskii, C Laclau, Y Maximov, MR Amini
arXiv preprint arXiv:1705.00105, 2017
62017
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
52018
Fast simultaneous clustering and feature selection for binary data
C Laclau, M Nadif
International Symposium on Intelligent Data Analysis, 192-202, 2014
42014
Noise-free latent block model for high dimensional data
C Laclau, V Brault
Data Mining and Knowledge Discovery 33 (2), 446-473, 2019
32019
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
22015
On Fair Cost Sharing Games in Machine Learning
I Redko, C Laclau
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4790-4797, 2019
12019
Diagonal Co-clustering Algorithm for Document-Word Partitioning
C Laclau, M Nadif
International Symposium on Intelligent Data Analysis, 170-180, 2015
12015
All of the Fairness for Edge Prediction with Optimal Transport
C Laclau, I Redko, M Choudhary, C Largeron
arXiv preprint arXiv:2010.16326, 2020
2020
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
N Vesseron, I Redko, C Laclau
arXiv preprint arXiv:2010.11024, 2020
2020
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
2018
KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation
S Sumit, C Laclau, MR Amini, G Vandelle, A Bois-Crettez
2017
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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