Follow
Charlotte Laclau
Charlotte Laclau
Télécom Paris, Institut Polytechnique de Paris
Verified email at telecom-paris.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
492017
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
452021
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, 568-592, 2021
44*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
312018
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
312017
A survey on fairness for machine learning on graphs
M Choudhary, C Laclau, C Largeron
arXiv preprint arXiv:2205.05396, 2022
252022
Hard and fuzzy diagonal co-clustering for document-term partitioning
C Laclau, M Nadif
Neurocomputing 193, 133-147, 2016
242016
Cross-lingual document retrieval using regularized wasserstein distance
G Balikas, C Laclau, I Redko, MR Amini
Advances in Information Retrieval: 40th European Conference on IR Research …, 2018
172018
Diagonal latent block model for binary data
C Laclau, M Nadif
Statistics and Computing 27, 1145-1163, 2017
92017
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
72015
Noise-free latent block model for high dimensional data
C Laclau, V Brault
Data Mining and Knowledge Discovery 33, 446-473, 2019
62019
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
52019
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
42021
Fast simultaneous clustering and feature selection for binary data
C Laclau, M Nadif
Advances in Intelligent Data Analysis XIII: 13th International Symposium …, 2014
42014
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
32021
Diagonal co-clustering algorithm for document-word partitioning
C Laclau, M Nadif
Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015
32015
An investigation of structures responsible for gender bias in BERT and DistilBERT
T Leteno, A Gourru, C Laclau, C Gravier
International Symposium on Intelligent Data Analysis, 249-261, 2023
22023
Hard and fuzzy block clustering algorithms for high dimensional data
C Laclau
Sorbonne Paris Cité, 2016
12016
Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport
R Serrano, C Laclau, B Jeudy, C Largeron
2024
Variational Perspective on Fair Edge Prediction
A Gourru, C Laclau, M Choudhary, C Largeron
International Symposium on Intelligent Data Analysis, 93-104, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20