1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CY2023
Causal Discovery and Counterfactual Explanations for Personalized Student Learning
Bevan I. Smith
The paper focuses on identifying the causes of student performance to provide personalized recommendations for improving pass rates. We introduce the need to move beyond predictive…
stat.ML2023★ 1 cited
Evaluating counterfactual explanations using Pearl's counterfactual method
Bevan I. Smith
Counterfactual explanations (CEs) are methods for generating an alternative scenario that produces a different desirable outcome. For example, if a student is predicted to fail a c…
stat.ME2021
Predicting treatment effects from observational studies using machine learning methods: A simulation study
Bevan I. Smith, Charles Chimedza
Measuring treatment effects in observational studies is challenging because of confounding bias. Confounding occurs when a variable affects both the treatment and the outcome. Trad…