William Kengne

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality. J. Complex. William Kengne, Modou Wade
2026	J	`jnl`	Deep regression learning from dependent observations with minimum error entropy principle. CoRR William Kengne, Modou Wade
2025	J	`jnl`	A general framework for deep learning. CoRR William Kengne, Modou Wade
2025	J	`jnl`	Robust deep learning from weakly dependent data. Neural Networks William Kengne, Modou Wade
2024	J	`jnl`	Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality. CoRR William Kengne, Modou Wade
2024	J	`jnl`	Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds. CoRR Pierre Alquier, William Kengne
2024	J	`jnl`	Robust deep learning from weakly dependent data. CoRR William Kengne, Modou Wade
2023	J	`jnl`	Deep learning for ψ-weakly dependent processes. CoRR William Kengne, Modou Wade
2023	J	`jnl`	Excess risk bound for deep learning under weak dependence. CoRR William Kengne
2023	J	`jnl`	Penalized deep neural networks estimator with general loss functions under weak dependence. CoRR William Kengne, Modou Wade
2023	J	`jnl`	Sparse-penalized deep neural networks estimator under weak dependence. CoRR William Kengne, Modou Wade
2014	J	`jnl`	Monitoring procedure for parameter change in causal time series. J. Multivar. Anal. Jean-Marc Bardet, William Kengne