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08/15/2023
REFORMS: Reporting Standards for Machine Learning Based Science
Machine learning (ML) methods are proliferating in scientific research. ...
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08/03/2023
Comparing scalable strategies for generating numerical perspectives
Numerical perspectives help people understand extreme and unfamiliar num...
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07/07/2023
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
Recent advances in the development of large language models are rapidly ...
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06/23/2023
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints
Prediction models have been widely adopted as the basis for decision-mak...
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02/21/2018
Manipulating and Measuring Model Interpretability
Despite a growing body of research focused on creating interpretable mac...
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11/28/2016
Split-door criterion for causal identification: Automatic search for natural experiments
Unobserved or unknown confounders complicate even the simplest attempts ...
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11/07/2013
Scalable Recommendation with Poisson Factorization
We develop a Bayesian Poisson matrix factorization model for forming rec...
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09/21/2007