Exploring the impact of post-training rounding in regression models.

DOI10.21136/AM.2024.0090-23MaRDI QIDQ6584366

Jan Kalina

Publication date: 7 August 2024

Published in: Applications of Mathematics (Search for Journal in Brave)

zbMATH Keywords

perturbationssupervised learninglow-precision arithmeticeffect of roundingtrained model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Neural nets and related approaches to inference from stochastic processes (62M45) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

Cites Work

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• R-estimation of the parameters of a multiple regression model with measurement errors
• Robust and sparse estimators for linear regression models
• System identification using kernel-based regularization: new insights on stability and consistency issues
• Multidimensional sum-up rounding for integer programming in optimal experimental design
• Robust Nonlinear Regression
• Measurement Error in Nonlinear Models
• Computational Methods for Deep Learning

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