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William Kengne

Orcid: 0000-0003-1619-9600

According to our database1, William Kengne authored at least 10 papers between 2014 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Deep regression learning from dependent observations with minimum error entropy principle.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
CoRR, March, 2026

Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
J. Complex., 2026

2025
A general framework for deep learning.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
CoRR, December, 2025

Robust deep learning from weakly dependent data.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
Neural Networks, 2025

2024
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds.
[BibTeX]
[DOI]
Pierre Alquier
,
William Kengne
CoRR, 2024

2023
Penalized deep neural networks estimator with general loss functions under weak dependence.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
CoRR, 2023

Sparse-penalized deep neural networks estimator under weak dependence.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
CoRR, 2023

Excess risk bound for deep learning under weak dependence.
[BibTeX]
[DOI]
William Kengne
CoRR, 2023

Deep learning for ψ-weakly dependent processes.
[BibTeX]
[DOI]
William Kengne
,
Modou Wade
CoRR, 2023

2014
Monitoring procedure for parameter change in causal time series.
[BibTeX]
[DOI]
Jean-Marc Bardet
,
William Kengne
J. Multivar. Anal., 2014


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