Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach

23 August 2023

Papers citing "Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach"

7 / 7 papers shown

Title
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning Jarren Briscoe Assefaw Gebremedhin FaML 108 3 0 08 May 2025
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing Aritra Ghosh Andrew Lan 85 35 0 17 Aug 2021
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing Haoyang Bi Haiping Ma Zhenya Huang Yu Yin Qi Liu Enhong Chen Yu Su Shijin Wang 45 41 0 15 Jan 2021
Cross-Loss Influence Functions to Explain Deep Network Representations Andrew Silva Rohit Chopra Matthew C. Gombolay TDI 59 15 0 03 Dec 2020
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge Zichao Wang A. Lamb Evgeny S. Saveliev Pashmina Cameron Yordan Zaykov ... Richard G. Baraniuk Craig Barton Simon L. Peyton Jones Simon Woodhead Cheng Zhang AI4Ed 46 79 0 23 Jul 2020
On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei Koh Kai-Siang Ang H. Teo Percy Liang TDI 57 186 0 30 May 2019
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 136 2,854 0 14 Mar 2017