Causal feature learning: an overview

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A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms (2019, background): “Closely related to our efforts is (Chalupka et al., 2017), which places a strong focus on the coalescence of low (e.”
The explanation game: a formal framework for interpretable machine learning (2020, unknown): “General purpose methods for causal feature learning have been proposed (Chalupka et al. 2017), however, critics have persuasively argued that such procedures cannot be implemented in a context-independent manner (Kinney 2018).”