Meta learning for causal direction
The inaccessibility of controlled randomized trials due to inherent constraints in many fields of science has been a fundamental issue in causal inference. In this paper, we focus on distinguishing the cause from effect in the bivariate setting under limited observational data. Based on recent devel...
| প্রধান লেখক: | , , |
|---|---|
| বিন্যাস: | Conference item |
| ভাষা: | English |
| প্রকাশিত: |
Association for the Advancement of Artificial Intelligence
2021
|