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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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03/01/2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Differential privacy (DP) is a mathematical privacy notion increasingly ...
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03/12/2022
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Recent concerns that machine learning (ML) may be facing a reproducibili...
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01/16/2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Organizations often collect private data and release aggregate statistic...
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05/11/2021
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
The computer science research community and the broader public have beco...
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11/26/2020
