W. Kengne

activity

20232026

most citedExcess risk bound for deep learning under weak dependence

2 citations · 3 across the 9 of their papers we have counts for

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3 papers · 1 filter

stat.ML2023★ 1 cited

Penalized deep neural networks estimator with general loss functions under weak dependence

William Kengne, Modou Wade

This paper carries out sparse-penalized deep neural networks predictors for learning weakly dependent processes, with a broad class of loss functions. We deal with a general framew…

stat.ML2023★ 2 cited

Excess risk bound for deep learning under weak dependence

William Kengne

This paper considers deep neural networks for learning weakly dependent processes in a general framework that includes, for instance, regression estimation, time series prediction,…

stat.ML2023

Deep learning for $ψ$ -weakly dependent processes

William Kengne, Wade Modou

In this paper, we perform deep neural networks for learning $ψ$ -weakly dependent processes. Such weak-dependence property includes a class of weak dependence conditions such as mix…

Penalized deep neural networks estimator with general loss functions under weak dependence

Excess risk bound for deep learning under weak dependence

Deep learning for ψ-weakly dependent processes

Deep learning for $ψ$ -weakly dependent processes