Search Results for author: Benjamin W. Domingue

Found 4 papers, 2 papers with code

Modeling Item Response Theory with Stochastic Variational Inference

no code implementations26 Aug 2021 Mike Wu, Richard L. Davis, Benjamin W. Domingue, Chris Piech, Noah Goodman

Item Response Theory (IRT) is a ubiquitous model for understanding human behaviors and attitudes based on their responses to questions.

Bayesian Inference Variational Inference

Variational Item Response Theory: Fast, Accurate, and Expressive

1 code implementation1 Feb 2020 Mike Wu, Richard L. Davis, Benjamin W. Domingue, Chris Piech, Noah Goodman

Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology.

Bayesian Inference

AI and Holistic Review: Informing Human Reading in College Admissions

no code implementations17 Dec 2019 AJ Alvero, Noah Arthurs, anthony lising antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens

College admissions in the United States is carried out by a human-centered method of evaluation known as holistic review, which typically involves reading original narrative essays submitted by each applicant.

Fairness

Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory

1 code implementation9 Sep 2019 Ajay Shanker Tripathi, Benjamin W. Domingue

However, in contemporary settings where item responses are being continuously collected, such as Massive Open Online Courses (MOOCs), interest will naturally be on the dynamics of ability, thus complicating usage of traditional IRT models.

Variational Inference

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