How Overparameterization works part2(Machine Learning)
Monotonous Parameter Estimation of One Class of Nonlinearly Parameterized Regressions without Overparameterization(arXiv) Author : Anton Glushchenko, Konstantin Lastochkin Abstract : The estimation law of unknown parameters vector θ is proposed for one class of nonlinearly parametrized regression equations y(t)=Ω(t)Θ(θ). We restrict our attention to parametrizations that are widely obtained in…
How Overparameterization works part2(Machine Learning) Monotonous Parameter Estimation of One Class of Nonlinearly Parameterized Regressions without Overparameterization(arXiv) Author : Anton Glushchenko, Konstantin Lastochkin Abstract : The estimation law of unknown parameters vector θ is proposed for one class of nonlinearly parametrized regression equations y(t)=Ω(t)Θ(θ). We restrict our attention to parametrizations that are widely obtained in… deep-learning
Overparameterization work part2Machine Learning Monotonous Parameter Estimation One Class Nonlinearly Parameterized Regressions without OverparameterizationarXiv Author Anton Glushchenko Konstantin Lastochkin Abstract estimation law unknown parameter vector θ proposed one class nonlinearly parametrized regression equation ytΩtΘθ restrict attention parametrizations widely obtained in… deeplearning