• Corpus ID: 237304262

Modeling Item Response Theory with Stochastic Variational Inference

@article{Wu2021ModelingIR,
  title={Modeling Item Response Theory with Stochastic Variational Inference},
  author={Mike Wu and Richard Lee Davis and Benjamin W. Domingue and Chris Piech and Noah D. Goodman},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.11579}
}
Item Response Theory (IRT) is a ubiquitous model for understanding human behaviors and attitudes based on their responses to questions. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving psychometric modeling leading to improved scientific understanding and public policy. However, while larger datasets allow for more flexible approaches, many contemporary algorithms for fitting IRT models may also have massive computational demands that… 

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