Can auxiliary variables be used in research on problem-solving?

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. 10 Dec 2021 · Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin ... Dec 13, 2019 ... Auxiliary variables are observed variables that are not of primary interest in your target model. They are included in the model for the sole ... 2.1 Requirement: Functions that compute auxiliary variables should have simple, intuitive calling arguments . Auxiliary variables take in constant data as ... Jul 22, 2020 ... Is there a way to introduce “auxiliary variables”, that will not be treated as proper variables but just as definitions? Sep 22, 2024 ... Auxiliary-Variables (abbreviated as AuxVars) are a special type of variables that, unlike generic script variables, exist in the game's memory ... Apr 17, 2018 ... I have three ordinal variables relating to public spending preferences that are all strongly correlated. One of them is missing around a 103 observations, ... variable of interest Y, using the ranking variable X as an auxiliary variable when the population mean µx is unknown. The proposed estimators fare better ... Jul 11, 2024 ... A way to evolve this auxiliary state without having it get integrated along with the ODE state. Adding this feature would likely come with some practical and ... mathematical formulation to many of these data ex- traction and reconstruction algorithms by adding an auxiliary variable in the energy in a way similar to [2]. Sep 29, 2010 ... Even though one categorical latent class variable is a known class variable, you still have two categorical latent variables in the analysis so ...