Antoine Ledent

According to our database, Antoine Ledent authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Recommendations with minimum exposure guarantees: A post-processing framework.

Ramon Lopes, Rodrigo Alves, Antoine Ledent, Rodrygo L. T. Santos, Marius Kloft

Expert Syst. Appl., February, 2024

Unraveling the Dynamics of Stable and Curious Audiences in Web Systems.

Rodrigo Alves, Antoine Ledent, Renato Assunção, Pedro O. S. Vaz de Melo, Marius Kloft

Proceedings of the ACM on Web Conference 2024, 2024

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks.

Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Orthogonal Inductive Matrix Completion.

Antoine Ledent, Rodrigo Alves, Marius Kloft

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks.

Petr Kasalický, Antoine Ledent, Rodrigo Alves

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings.

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Burst-induced Multi-Armed Bandit for Learning Recommendation.

Rodrigo Alves, Antoine Ledent, Marius Kloft

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation.

Robert A. Vandermeulen, Antoine Ledent

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fine-grained Generalization Analysis of Inductive Matrix Completion.

Antoine Ledent, Rodrigo Alves, Yunwen Lei, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Interpretable Concept Groups in CNNs.

Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fine-grained Generalization Analysis of Structured Output Prediction.

Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Model Uncertainty Guides Visual Object Tracking.

Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Fine-grained Generalization Analysis of Vector-Valued Learning.

Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks.

Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion.

Rodrigo Alves, Antoine Ledent, Renato Assunção, Marius Kloft

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

Sharper Generalization Bounds for Pairwise Learning.

Yunwen Lei, Antoine Ledent, Marius Kloft

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Improved Generalisation Bounds for Deep Learning Through L^∞ Covering Numbers.

Antoine Ledent, Yunwen Lei, Marius Kloft

CoRR, 2019