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High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm

Proceedings of the AAAI Conference on Artificial Intelligence
Overparameterization often leads to benign overfitting, where deep neural networks can be trained to overfit the training data but still generalize well on unseen data. However, it lacks a generalized asymptotic framework for nonlinear regressions and connections to conventional complexity notions.
Jian Li, Yong Liu, Weiping Wang
openaire   +1 more source

Nonlinear Regression of Ink Spreading Using a General Ellipse Model

2022 22nd International Conference on Control, Automation and Systems (ICCAS), 2022
H. Kim, J. Kim, M. Kwon
openaire   +1 more source

General Nonlinear Function-on-Function Regression via Functional Universal Approximation

Journal of Computational and Graphical Statistics, 2023
Ruiyan Luo, Xin Qi
openaire   +1 more source

Maximum likelihood estimation and large-sample inference for generalized linear and nonlinear regression models

Biometrika, 1983
SUMMARY The class of generalized linear models is extended to allow for correlated observations, nonlinear models and error distributions not of the exponential family form. The extended class of models include a number of important examples, particularly of the composite transformational type.
openaire   +3 more sources

Generalization Evaluation of a Nonlinear Auto-Regressive Neural Network for PON Technologies

2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2023
Enzo Gomes Pinto Perin da Cruz   +6 more
openaire   +1 more source

The first surgeon general's report on smoking and health: The 50th anniversary

Ca-A Cancer Journal for Clinicians, 2014
Fadlo R Khuri
exaly  

Cancer screening, prevention, and treatment in people with mental illness

Ca-A Cancer Journal for Clinicians, 2016
Ana Stefancic   +2 more
exaly  

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