Counterfactual Inference
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A Counteractual Inference Task is an inference task that ...
- Context:
- It can be used for Determining Causal Effects in an Observational Study.
- See: Counterfactual Relationship, Logical Inference, Counterfactual Relation, Causal Inference, Counterfactual.
References
2016
- (Johansson et al., 2016) ⇒ Fredrik D. Johansson, Uri Shalit, and David Sontag. (2016). “Learning Representations for Counterfactual Inference.” In: Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48.
- QUOTE: Counterfactual inference for determining causal effects in observational studies has been studied extensively in statistics, economics, epidemiology and sociology (Morgan & Winship, 2014; Robins et al., 2000; Rubin, 2011; Chernozhukov et al., 2013) as well as in machine learning (Langford et al., 2011; Bottou et al., 2013; Swaminathan & Joachims, 2015a).
2015
- (Swaminathan & Joachims, 2015a) ⇒ Adith Swaminathan, and Thorsten Joachims. (2015). “Counterfactual Risk Minimization: Learning from Logged Bandit Feedback.” In: Proceedings of the 32nd International Conference on International Conference on Machine Learning (ICML-2015).
- (Swaminathan & Joachims, 2015b) ⇒ Adith Swaminathan, and Thorsten Joachims. (2015). “The Self-normalized Estimator for Counterfactual Learning.” In: Proceedings of the 28th International Conference on Neural Information Processing Systems.
2000
- (Philip, 2000)) ⇒ Dawid, A. Philip. “Causal inference without counterfactuals.” In: Journal of the American Statistical Association 95, no. 450 (2000): 407-424.