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Marius Kloft

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Antoine Ledent

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Publications

2024
[j25]
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  - journals/eswa/LopesALSK24
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Ramon Lopes, Rodrigo Alves, Antoine Ledent, Rodrygo L. T. Santos, Marius Kloft:
Recommendations with minimum exposure guarantees: A post-processing framework. Expert Syst. Appl. 236: 121164 (2024)
2023
[j22]
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  - journals/tnn/LedentAK23
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Antoine Ledent, Rodrigo Alves, Marius Kloft:
Orthogonal Inductive Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2259-2270 (2023)
[c62]
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  - conf/aaai/LedentALGK23
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Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft:
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. AAAI 2023: 8447-8455
2022
[i39]
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  - journals/corr/abs-2212-08339
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Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft:
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings. CoRR abs/2212.08339 (2022)
2021
[c52]
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  - conf/aaai/ZhouLHLZK21
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Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft:
Model Uncertainty Guides Visual Object Tracking. AAAI 2021: 3581-3589
[c51]
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  - conf/aaai/LedentMLK21
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Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft:
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. AAAI 2021: 8279-8287
[c50]
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  - conf/aaai/WuLLK21
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Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft:
Fine-grained Generalization Analysis of Vector-Valued Learning. AAAI 2021: 10338-10346
[c47]
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  - conf/ijcai/VarshneyaLVLEBK21
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Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft:
Learning Interpretable Concept Groups in CNNs. IJCAI 2021: 1061-1067
[c46]
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  - conf/ijcai/MustafaLLK21
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Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft:
Fine-grained Generalization Analysis of Structured Output Prediction. IJCAI 2021: 2841-2847
[c45]
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  - conf/nips/LedentALK21
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Antoine Ledent, Rodrigo Alves, Yunwen Lei, Marius Kloft:
Fine-grained Generalization Analysis of Inductive Matrix Completion. NeurIPS 2021: 25540-25552
[c44]
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  - conf/recsys/AlvesLK21
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Rodrigo Alves, Antoine Ledent, Marius Kloft:
Burst-induced Multi-Armed Bandit for Learning Recommendation. RecSys 2021: 292-301
[i37]
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  - journals/corr/abs-2104-14173
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Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft:
Fine-grained Generalization Analysis of Vector-valued Learning. CoRR abs/2104.14173 (2021)
[i36]
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  - journals/corr/abs-2106-00115
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Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft:
Fine-grained Generalization Analysis of Structured Output Prediction. CoRR abs/2106.00115 (2021)
[i33]
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  - journals/corr/abs-2109-10078
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Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft:
Learning Interpretable Concept Groups in CNNs. CoRR abs/2109.10078 (2021)
2020
[c39]
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  - conf/nips/LeiLK20
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Yunwen Lei, Antoine Ledent, Marius Kloft:
Sharper Generalization Bounds for Pairwise Learning. NeurIPS 2020
[c38]
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  - conf/preregister/AlvesLAK20
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Rodrigo Alves, Antoine Ledent, Renato Assunção, Marius Kloft:
An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion. Preregister@NeurIPS 2020: 111-125
[i30]
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  - journals/corr/abs-2004-01653
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Antoine Ledent, Rodrigo Alves, Marius Kloft:
Orthogonal Inductive Matrix Completion. CoRR abs/2004.01653 (2020)
2019
[i23]
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  - journals/corr/abs-1905-12430
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Antoine Ledent, Yunwen Lei, Marius Kloft:
Improved Generalisation Bounds for Deep Learning Through L^∞ Covering Numbers. CoRR abs/1905.12430 (2019)

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