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This is perhaps a meta-proposal which may be fully addressed by multiple separate PR's. But the core idea is to build out the functionality (and visibility of that) on the causal inference side. So th…
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> "... Nine unelected judges [ended up] making the decision that they [= activists] argued should be made by state legislatures," according to Ginsburg.
This is about abortion. The activists mentione…
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May be out of scope for this project (or just for now), but @SamuelBrand1 points us to `epidemia`'s interface for counterfactuals, which I think is cool. This is somewhat straightforward to implement,…
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To support applications like @fritzo's Causal Effect VAE example #2151 I propose we deprecate the current implementation of `poutine.do` in favor of a semantics for counterfactuals (i.e. queries conta…
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The link to the topic "Learning Representations for Counterfactual Inference" in the README.md file is currently broken. The original link no longer works.
I suggest updating the link in the READ…
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Post your response to our challenge questions.
First, pose a causal research question you would like to answer (in one, artfully worded sentence ending with a question mark). This could be the same…
lkcao updated
8 months ago
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I am trying to generate Counterfactual Explanations for a NeuroTreeModel, also trained using `CounterfactualExplanations.jl`. While the model itself seems to work as expected (i.e., it is able to gene…
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This is a comprehensive tutorial that introduces the topics of causal inference, counterfactual frameworks, and intuition and shows how to implement this process with the doWhy library.
#102
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Post your response to our challenge questions.
First, pose a causal research question you would like to answer (in one, artfully worded sentence ending with a question mark). This could be the same…
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You mentioned in the paper that the sample weight w is used to remove the confounder bias from C(X). However, under the unconfoundedness assumption, there are no unobserved confounders and hence there…