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cs.LG2026
Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance
Dom CP Marticorena, Chris Wissmann, Zeyu Lu +1
While adaptive experimental design has outgrown one-dimensional, staircase-based adaptations, most cognitive experiments still control a single factor and summarize performance wit…
cs.LG2026
Early Prediction of Future Behavioral Strategy from Process Traces
Robert Kasumba, Dennis Barbour, Chien-Ju Ho
Adaptive systems often need to make task-specific decisions about people from limited evidence: a tutor may need to anticipate how a learner will approach a new problem, a game may…
cs.LG2026
Bayesian Distributional Models of Executive Functioning
Robert Kasumba, Zeyu Lu, Dom CP Marticorena +9
This study uses controlled simulations with known ground-truth parameters to evaluate how Distributional Latent Variable Models (DLVM) and Bayesian Distributional Active LEarning (…