all AI news
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment. (arXiv:2210.06610v1 [cs.LG])
Oct. 14, 2022, 1:11 a.m. | Liyuan Xu, Arthur Gretton
cs.LG updates on arXiv.org arxiv.org
We consider the estimation of average and counterfactual treatment effects,
under two settings: back-door adjustment and front-door adjustment. The goal in
both cases is to recover the treatment effect without having an access to a
hidden confounder. This objective is attained by first estimating the
conditional mean of the desired outcome variable given relevant covariates (the
"first stage" regression), and then taking the (conditional) expectation of
this function as a "second stage" procedure. We propose to compute these
conditional expectations …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Data Scientist
@ Motive | India - Remote
Senior Perception Engineer
@ NVIDIA | US, CA, Santa Clara
Business Data Analyst, Finance and Treasury Data Repositories, Senior Associate
@ State Street | Krakow, Poland
Junior AI Engineer (Internship)
@ Sony | SEU - Italy - Roma
Manager, Data Science 3
@ PayPal | USA - Pennsylvania - Virtual