Dataset shift, external validity, covariate shift, transferrable learning


TBD.

Deaton, Angus, and Nancy Cartwright. 2016. “Understanding and Misunderstanding Randomized Controlled Trials.” Working Paper 22595. National Bureau of Economic Research. https://doi.org/10.3386/w22595.

Olteanu, Alexandra, Carlos Castillo, Fernando Diaz, and Emre Kıcıman. 2019. “Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries.” Frontiers in Big Data 2. https://doi.org/10.3389/fdata.2019.00013.

Pearl, Judea, and Elias Bareinboim. 2014. “External Validity: From Do-Calculus to Transportability Across Populations.” Statistical Science 29 (4): 579–95. https://doi.org/10.1214/14-STS486.

Quiñonero-Candela, Joaquin. 2009. Dataset Shift in Machine Learning. Cambridge, Mass.: MIT Press. http://ndl.ethernet.edu.et/handle/123456789/47647.

Schram, Arthur. 2005. “Artificiality: The Tension Between Internal and External Validity in Economic Experiments.” Journal of Economic Methodology 12 (2): 225–37. https://doi.org/10.1080/13501780500086081.

Subbaswamy, Adarsh, Peter Schulam, and Suchi Saria. 2019. “Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport.” In The 22nd International Conference on Artificial Intelligence and Statistics, 3118–27. PMLR. http://proceedings.mlr.press/v89/subbaswamy19a.html.