Search Results for author: Daniel G. Goldstein

Found 4 papers, 1 papers with code

Comparing scalable strategies for generating numerical perspectives

no code implementations3 Aug 2023 Hancheng Cao, Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman

Numerical perspectives help people understand extreme and unfamiliar numbers (e. g., \$330 billion is about \$1, 000 per person in the United States).

Semantic Similarity Semantic Textual Similarity

Manipulating and Measuring Model Interpretability

1 code implementation21 Feb 2018 Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna Wallach

With machine learning models being increasingly used to aid decision making even in high-stakes domains, there has been a growing interest in developing interpretable models.

BIG-bench Machine Learning Decision Making +1

Simple rules for complex decisions

no code implementations15 Feb 2017 Jongbin Jung, Connor Concannon, Ravi Shroff, Sharad Goel, Daniel G. Goldstein

From doctors diagnosing patients to judges setting bail, experts often base their decisions on experience and intuition rather than on statistical models.

Causal Inference counterfactual +1

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