search

rguo12 / awesome-causality-algorithms

An index of algorithms for learning causality with data
MIT License
2.89k stars 441 forks source link

Add a new work on estimating causal effects under confounding #14

Closed wpzdm closed 2 years ago

wpzdm commented 3 years ago

Shamelessly recommend my own preprint: https://arxiv.org/abs/2101.06662 Some highlights: https://twitter.com/PengzhouW/status/1362225064309972993 In particular, it shows SOTA performance of balancing and deconfounding on IHDP and Pokec.

I do not know if preprints are allowed by the policy of your list. Simply ignore this if not.

rguo12 commented 3 years ago

Hi Pengzhou,

If you could create a pull request for the suggested work, that would be great as github would list you as a contributor to the repository.

Best regards,

Ruocheng

On Sat, Mar 6, 2021 at 6:16 AM wpzdm notifications@github.com wrote:

Shamelessly recommend my own preprint: https://arxiv.org/abs/2101.06662 Some highlights: https://twitter.com/PengzhouW/status/1362225064309972993 In particular, it shows SOTA performance of balancing and deconfounding on IHDP and Pokec.

I do not know if preprints are allowed by the policy of your list. Simply ignore this if not.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/rguo12/awesome-causality-algorithms/issues/14, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABUVWHMTWAU63HIK6O6AS3LTCITLHANCNFSM4YWXDVIA .

rguo12 commented 2 years ago

added. Thx for the suggestion.