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Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.

, , and . KDD, page 2459-2468. ACM, (2019)

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Mathematical Notions vs. Human Perception of Fairness, , and . Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD \textquotesingle19, ACM Press, (2019)New Models for Competitive Contagion., , and . AAAI, page 637-644. AAAI Press, (2014)On modeling human perceptions of allocation policies with uncertain outcomes., , , and . SIGecom Exch., 20 (1): 47-54 (July 2022)Competitive contagion in networks., , and . Games Econ. Behav., (2019)Fairness in criminal justice risk assessments: The state of the art, , , , and . Sociological Methods & Research, (2018)A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms., , , , , , and . CoRR, (2022)A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making., , , and . CoRR, (2022)Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses., , , , and . CoRR, (2021)Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning., , and . KDD, page 2459-2468. ACM, (2019)Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets., , , and . EC, page 583-600. ACM, (2015)