3 papers
econ.GN2025
Misaligned by Design: Incentive Failures in Machine Learning
David Autor, Andrew Caplin, Daniel Martin +1
The cost of error in many high-stakes settings is asymmetric: misdiagnosing pneumonia when absent is an inconvenience, but failing to detect it when present can be life-threatening…
econ.GN2025
Testing Capacity-Constrained Learning
Andrew Caplin, Daniel Martin, Philip Marx +2
We introduce the first general test of capacity-constrained learning models. Cognitive economic models of this type share the common feature that constraints on perception are exog…
cs.LG2022
Calibrating for Class Weights by Modeling Machine Learning
Andrew Caplin, Daniel Martin, Philip Marx
A much studied issue is the extent to which the confidence scores provided by machine learning algorithms are calibrated to ground truth probabilities. Our starting point is that c…