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Antoine Ledent
Antoine Ledent
School of Computing and Information Sciences (SCIS), Singapore Management University (SMU)
在 smu.edu.sg 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Sharper generalization bounds for pairwise learning
Y Lei*, A Ledent*, M Kloft
Advances in Neural Information Processing Systems 33, 21236-21246, 2020
352020
Norm-based generalisation bounds for deep multi-class convolutional neural networks
A Ledent, W Mustafa, Y Lei, M Kloft
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8279-8287, 2021
26*2021
Orthogonal inductive matrix completion
A Ledent*, R Alves*, M Kloft
IEEE Transactions on Neural Networks and Learning Systems, 2021
172021
Fine-grained Generalisation Analysis of Inductive Matrix Completion
A Ledent, R Alves, Y Lei, M Kloft
34th Conference on Advances in Neural Information Processing (NeurIPS), to …, 2021
102021
Model uncertainty guides visual object tracking
L Zhou, A Ledent, Q Hu, T Liu, J Zhang, M Kloft
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3581-3589, 2021
82021
Fine-grained generalization analysis of vector-valued learning
L Wu, A Ledent, Y Lei, M Kloft
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10338 …, 2021
62021
Fine-grained analysis of structured output prediction
W Mustafa, Y Lei, A Ledent, M Kloft
International Joint Conferences on Artificial Intelligence 30, 2841, 2021
6*2021
Beyond smoothness: Incorporating low-rank analysis into nonparametric density estimation
RA Vandermeulen, A Ledent
Advances in Neural Information Processing Systems 34, 12180-12193, 2021
52021
An empirical study of the discreteness prior in low-rank matrix completion
R Alves*, A Ledent*, R Assunção, M Kloft
NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 111-125, 2021
42021
Uncertainty-adjusted recommendation via matrix factorization with weighted losses
R Alves*, A Ledent*, M Kloft
IEEE Transactions on Neural Networks and Learning Systems, 2023
32023
Burst-induced multi-armed bandit for learning recommendation
R Alves, A Ledent, M Kloft
Proceedings of the 15th ACM Conference on Recommender Systems, 292-301, 2021
32021
Learning Interpretable Concept Groups in CNNs
S Varshneya, A Ledent, RA Vandermeulen, Y Lei, M Enders, D Borth, ...
30th International Joint Conference on Artificial Intelligence (IJCAI), 2021
32021
Generalization bounds for inductive matrix completion in low-noise settings
A Ledent, R Alves, Y Lei, Y Guermeur, M Kloft
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8447-8455, 2023
22023
Recommendations with minimum exposure guarantees: A post-processing framework
R Lopes, R Alves, A Ledent, RLT Santos, M Kloft
Expert Systems with Applications 236, 121164, 2024
12024
Improved Generalisation Bounds for Deep Learning Through Covering Numbers
A Ledent, Y Lei, M Kloft
NeurIPS workshop on Machine Learning with Guarantees, 2019
12019
Are you here to stay? disentangling the loyal audience from the curious on social media
R Alves, A Ledent, RM Assuncao, PV de Melo, M Kloft
Submitted to: The 30th ACM International Conference on Information and …, 2018
12018
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks
W Mustafa, P Liznerski, A Ledent, D Wagner, P Wang, M Kloft
International Conference on Artificial Intelligence and Statistics, 4528-4536, 2024
2024
Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets
R Alves, A Ledent
IEEE Transactions on Neural Networks and Learning Systems, 2024
2024
Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks
P Kasalicky, A Ledent, R Alves
Proceedings of the 17th ACM Conference on Recommender Systems, 1169-1174, 2023
2023
Kusuoka-Stroock type bounds for densities related to low-dimensional projections of high-dimensional SDE
A Ledent
PhD Thesis, University of Luxembourg, Esch-sur-Alzette, Luxembourg, 2017
2017
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