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Machine Learning Instrument Variables for Causal Inference
SSRN Electronic Journal, 2019Instrumental variables (IVs) are a commonly used technique for causal inference from observational data. However, in the recent years, the use of the IV method has come under much criticism across multiple disciplines (e.g. [1] and [6] in Economics; [3] in Marketing; [5], [4], and [2] in Finance).
Amandeep Singh +2 more
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Causality Problems in Machine Learning Systems
The topic of causality represents a major issue for the contemporary machine learning (ML) research agenda. Although the technical literature treats it as a single problem, causality is a family of distinct, albeit related, issues. This chapter presents a taxonomy that distinguishes among three different causality problems in ML systems: the problem ofA. Termine, G. Primiero
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Machine Learning, Health Disparities, and Causal Reasoning
Annals of Internal Medicine, 2018Rajkomar and colleagues warn us that the introduction of machine-learned predictive algorithms into medicine might inadvertently reinforce or create inequitable treatment of protected groups, for w...
Steven N, Goodman +2 more
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Causal Inspired Trustworthy Machine Learning
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023openaire +1 more source
Recent Developments in Causal Inference and Machine Learning
Annual Review of Sociology, 2023Jennie E. Brand
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Reflection on modern methods: when worlds collide-prediction, machine learning and causal inference.
International Journal of Epidemiology, 2021Koen Simons, Tony Blakely, Sherri Rose
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Causal Interpretability for Machine Learning - Problems, Methods and Evaluation
SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, 2020Ruocheng Guo +2 more
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