Statistical Properties of Deep Neural Networks with Dependent Data
stat.ML, cs.LG, econ.EM
Submitted: 2024-10-14
Updated: 2026-09-23
Terminology
Sources
- Local Rademacher complexities
- Basic Properties of Strong Mixing Conditions. A Survey and Some Open Questions
- Inference in Partially Linear Models under Dependent Data with Deep Neural Networks
- Deep Neural Networks for Estimation and Inference
- Deep learning for time series classification: a review
- On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data
- Adaptive deep learning for nonlinear time series models
- A vector-contraction inequality for Rademacher complexities
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
- Strong mixing properties of discrete-valued time series with exogenous covariates
- Nonparametric logistic regression with deep learning
- Understanding deep learning requires rethinking generalization
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