Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders

2021 ◽  
Author(s):  
Geoffrey Converse ◽  
Mariana Curi ◽  
Suely Oliveira ◽  
Jonathan Templin
2021 ◽  
Author(s):  
Gunter Maris ◽  
Timo Bechger

We show that Boltzmann machines can formally be represented as multidimensional item response theory models. This relationship inspired a new learning principle and new ways to regularize Boltzmann machines to make them more interpretable. The core results carry over to a broader class of models including Gaussian-Bernoulli restricted Boltzmann machines.


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