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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.
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)
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