Nonconvex sparse regularization for deep neural networks and its
optimality

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Nonconvex sparse regularization for deep neural networks and its optimality

26 March 2020

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Papers citing "Nonconvex sparse regularization for deep neural networks and its optimality"

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Title
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds Pierre Alquier William Kengne 89 0 0 29 Oct 2024
Robust deep learning from weakly dependent data William Kengne Modou Wade OOD 82 2 0 08 May 2024
Statistical learning by sparse deep neural networks Felix Abramovich BDL 77 1 0 15 Nov 2023
Penalized deep neural networks estimator with general loss functions under weak dependence William Kengne Modou Wade 66 2 0 10 May 2023
Sparse-penalized deep neural networks estimator under weak dependence William Kengne Modou Wade 64 6 0 02 Mar 2023
Excess risk bound for deep learning under weak dependence William Kengne BDL 60 5 0 15 Feb 2023
Nonparametric regression with modified ReLU networks A. Beknazaryan Hailin Sang 52 0 0 17 Jul 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 64 11 0 10 Jan 2022
Drift estimation for a multi-dimensional diffusion process using deep neural networks Akihiro Oga Yuta Koike DiffM 54 6 0 26 Dec 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 90 17 0 09 May 2021
$Function approximation by deep neural networks with parameters $\{0,\pm \frac{1}{2}, \pm 1, 2\}$$ Function approximation by deep neural networks with parameters $\{0,\pm \frac{1}{2}, \pm 1, 2\}$ A. Beknazaryan 41 5 0 15 Mar 2021
A deep network construction that adapts to intrinsic dimensionality beyond the domain A. Cloninger T. Klock AI4CE 91 14 0 06 Aug 2020