Closed MaximilianFranz closed 5 years ago
Thanks a lot, Maximilian! I will do it soon.
On Tue, Jun 11, 2019 at 4:25 AM Maximilian Franz notifications@github.com wrote:
Hey :)
I wanted to propose adding the X-learner meta-learner framework for heterogeneous treatment effects.
Paper: https://www.pnas.org/content/pnas/116/10/4156.full.pdf Code: https://github.com/xnie/rlearner/blob/master/R/xlearner.R
I guess this belongs to the i.i.d data section.
Thanks for the awesome collection and the comprehensive review paper, great work!
— 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/1?email_source=notifications&email_token=ABUVWHK4RKYLFWJOLRCGKZ3PZ5OOJA5CNFSM4HW3YPI2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4GYX3PTA, or mute the thread https://github.com/notifications/unsubscribe-auth/ABUVWHPVCZLEPGFFGXBXHW3PZ5OOJANCNFSM4HW3YPIQ .
X-learner is added.
Hey :)
I wanted to propose adding the X-learner meta-learner framework for heterogeneous treatment effects.
Paper: https://www.pnas.org/content/pnas/116/10/4156.full.pdf Code: https://github.com/xnie/rlearner/blob/master/R/xlearner.R
I guess this belongs to the i.i.d data section.
Thanks for the awesome collection and the comprehensive review paper, great work!