Antoine Ledent

Orcid: 0000-0001-8440-2784

According to our database1, Antoine Ledent authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Recommendations with minimum exposure guarantees: A post-processing framework.
Expert Syst. Appl., February, 2024

2023
Orthogonal Inductive Matrix Completion.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Burst-induced Multi-Armed Bandit for Learning Recommendation.
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.
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.
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fine-grained Generalization Analysis of Structured Output Prediction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Model Uncertainty Guides Visual Object Tracking.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Fine-grained Generalization Analysis of Vector-Valued Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

Sharper Generalization Bounds for Pairwise Learning.
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<sup>∞</sup> Covering Numbers.
CoRR, 2019


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