Variational Item Response Theory: Fast, Accurate, and Expressive

1 February 2020

Papers citing "Variational Item Response Theory: Fast, Accurate, and Expressive"

8 / 8 papers shown

Title
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 41 0 0 15 Feb 2025
Survey of Computerized Adaptive Testing: A Machine Learning Perspective Qi Liu Zhuang Yan Haoyang Bi Zhenya Huang Weizhe Huang ... Z. Pardos Haiping Ma Mengxiao Zhu Shijin Wang Enhong Chen AI4Ed 49 9 0 31 Mar 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 33 2 0 19 Jan 2024
Transferable Curricula through Difficulty Conditioned Generators Sidney Tio Pradeep Varakantham 25 4 0 22 Jun 2023
Computational modeling of semantic change Nina Tahmasebi Haim Dubossarsky 34 6 0 13 Apr 2023
py-irt: A Scalable Item Response Theory Library for Python John P. Lalor Pedro Rodriguez 33 10 0 02 Mar 2022
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 83 1,377 0 14 Dec 2020
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,267 0 09 Jun 2012