Antoine Ledent

Orcid: 0000-0001-8440-2784

According to our database1, Antoine Ledent authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • 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

Unraveling the Dynamics of Stable and Curious Audiences in Web Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Interpretable Tensor Fusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Generalization Analysis of Deep Non-linear Matrix Completion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 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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