On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data

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1. 2026Adaptive deep nonparametric regression from dependent data under covariate shift22 Jul 2026
2. 2026Deep regression learning from dependent observations with minimum error entropy principle11 Mar 2026
3. 2025A general framework for deep learning29 Dec 2025
4. 2024A Subsampling Based Neural Network for Spatial Data6 Nov 2024
5. 2024Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds29 Oct 2024
6. 2024Approximation Bounds for Recurrent Neural Networks with Application to Regression9 Sep 2024
7. 2024Deep learning from strongly mixing observations: Sparse-penalized regularization and minimax optimality12 Jun 2024
8. 2024Robust deep learning from weakly dependent data8 May 2024
9. 2023Penalized deep neural networks estimator with general loss functions under weak dependence10 May 2023
10. 2023Sparse-penalized deep neural networks estimator under weak dependence2 Mar 2023
11. 2023Excess risk bound for deep learning under weak dependence15 Feb 2023
12. 2023Deep learning for psi-weakly dependent processes1 Feb 2023

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