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rguo12 / awesome-causality-algorithms

An index of algorithms for learning causality with data
MIT License
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References on cause-effect inference #13

Open wpzdm opened 3 years ago

wpzdm commented 3 years ago

Thank you for this great list!

Currently there is only one reference under "Distinguishing Cause from Effect (Bivariate)". Below are some references published in recent 3 years (in no particular order). I try to make a high-variance-low-bias list, keeping an eye on the diversity, without bias to a particular kind of methods. Hope these help.

https://dl.acm.org/doi/abs/10.1145/3292500.3330854 (KDD19) http://proceedings.mlr.press/v84/bloebaum18a.html (AISTATS18) http://proceedings.mlr.press/v119/tagasovska20a.html (ICML20) https://link.springer.com/chapter/10.1007/978-3-319-98131-4_3 https://proceedings.neurips.cc/paper/2018/hash/73fed7fd472e502d8908794430511f4d-Abstract.html https://proceedings.neurips.cc/paper/2020/hash/a979ca2444b34449a2c80b012749e9cd-Abstract.html https://arxiv.org/abs/2007.02809 (AAAI21) http://proceedings.mlr.press/v108/wu20b.html (AISTATS20) This last is my own work, and to the best of my knowledge, it still keeps the best result on benchmark dataset. I will publish the code in the recent future.

Cheers, Pengzhou (Abel)

rguo12 commented 3 years ago

Hi Pengzhou, thanks for the list, maybe you can consider submitting a PR? That would make you a contributor to the repo.

rguo12 commented 2 years ago

It seems I cannot find code for the following papers, any idea? https://proceedings.neurips.cc/paper/2018/hash/73fed7fd472e502d8908794430511f4d-Abstract.html https://proceedings.neurips.cc/paper/2020/hash/a979ca2444b34449a2c80b012749e9cd-Abstract.html https://arxiv.org/abs/2007.02809 (AAAI21) http://proceedings.mlr.press/v108/wu20b.html (AISTATS20)