Charlotte Laclau

According to our database, Charlotte Laclau authored at least 31 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching.

Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

CoRR, 2024

Variational Perspective on Fair Edge Prediction.

Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

A Study on Hierarchical Text Classification as a Seq2seq Task.

Fatos Torba, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze

Proceedings of the Advances in Information Retrieval, 2024

2023

Understanding deep neural networks through the lens of their non-linearity.

Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski

CoRR, 2023

An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT.

Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection.

Raphaël Chevasson, Charlotte Laclau, Christophe Gravier

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Comment rendre un GNN plus équitable pour la prédiction de liens ?

Manvi Choudhary, Antoine Gourru, Charlotte Laclau, Christine Largeron

Proceedings of the Extraction et Gestion des Connaissances, 2023

Fair Text Classification with Wasserstein Independence.

Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Survey on Fairness for Machine Learning on Graphs.

Manvi Choudhary, Charlotte Laclau, Christine Largeron

CoRR, 2022

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract).

Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini

CoRR, 2022

Understanding the Benefits of Forgetting When Learning on Dynamic Graphs.

Julien Tissier, Charlotte Laclau

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation.

Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini

J. Artif. Intell. Res., 2021

User preference and embedding learning with implicit feedback for recommender systems.

Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, Massih-Reza Amini

Data Min. Knowl. Discov., 2021

Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond.

Nina Vesseron, Ievgen Redko, Charlotte Laclau

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

All of the Fairness for Edge Prediction with Optimal Transport.

Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation.

Aleksandra Burashnikova, Marianne Clausel, Charlotte Laclau, Frack Iutzeller, Yury Maximov, Massih-Reza Amini

CoRR, 2020

Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy.

Charlotte Laclau, Franck Iutzeler, Ievgen Redko

CoRR, 2020

2019

Noise-free latent block model for high dimensional data.

Charlotte Laclau, Vincent Brault

Data Min. Knowl. Discov., 2019

On Fair Cost Sharing Games in Machine Learning.

Ievgen Redko, Charlotte Laclau

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

PANDOR.

Massih-Reza Amini, Charlotte Laclau, Sumit Sidana

Dataset, October, 2018

Learning to recommend diverse items over implicit feedback on PANDOR.

Sumit Sidana, Charlotte Laclau, Massih-Reza Amini

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance.

Georgios Balikas, Charlotte Laclau, Ievgen Redko, Massih-Reza Amini

Proceedings of the Advances in Information Retrieval, 2018

2017

KASANDR.

Sumit Sidana, Charlotte Laclau, Massih-Reza Amini

Dataset, May, 2017

Diagonal latent block model for binary data.

Charlotte Laclau, Mohamed Nadif

Stat. Comput., 2017

Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems.

Mikhail Trofimov, Sumit Sidana, Oleh Horodnitskii, Charlotte Laclau, Yury Maximov, Massih-Reza Amini

CoRR, 2017

KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation.

Sumit Sidana, Charlotte Laclau, Massih-Reza Amini, Gilles Vandelle, André Bois-Crettez

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Co-clustering through Optimal Transport.

Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Hard and fuzzy diagonal co-clustering for document-term partitioning.

Charlotte Laclau, Mohamed Nadif

Neurocomputing, 2016

2015

Diagonal Co-clustering Algorithm for Document-Word Partitioning.

Charlotte Laclau, Mohamed Nadif

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Fuzzy co-clustering with automated variable weighting.

Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

Fast Simultaneous Clustering and Feature Selection for Binary Data.

Charlotte Laclau, Mohamed Nadif

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014