| Co-clustering through optimal transport C Laclau, I Redko, B Matei, Y Bennani, V Brault International Conference on Machine Learning, 1955-1964, 2017 | 18 | 2017 |
| Hard and fuzzy diagonal co-clustering for document-term partitioning C Laclau, M Nadif Neurocomputing 193, 133-147, 2016 | 17 | 2016 |
| 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 | 13 | 2017 |
| Cross-lingual document retrieval using regularized Wasserstein distance G Balikas, C Laclau, I Redko, MR Amini European Conference on Information Retrieval, 398-410, 2018 | 8 | 2018 |
| 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 | 7 | 2018 |
| 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 | 7 | 2017 |
| Diagonal latent block model for binary data C Laclau, M Nadif Statistics and Computing 27 (5), 1145-1163, 2017 | 6 | 2017 |
| Noise-free latent block model for high dimensional data C Laclau, V Brault Data Mining and Knowledge Discovery 33 (2), 446-473, 2019 | 4 | 2019 |
| 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 | 4 | 2015 |
| Fast simultaneous clustering and feature selection for binary data C Laclau, M Nadif International Symposium on Intelligent Data Analysis, 192-202, 2014 | 3 | 2014 |
| Diagonal Co-clustering Algorithm for Document-Word Partitioning C Laclau, M Nadif International Symposium on Intelligent Data Analysis, 170-180, 2015 | 2 | 2015 |
| 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 | 1 | 2019 |
| 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, 1-25, 2021 | | 2021 |
| Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation A Burashnikova, M Clausel, C Laclau, F Iutzeller, Y Maximov, MR Amini arXiv preprint arXiv:2012.06910, 2020 | | 2020 |
| 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 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 | | |
