[FR] Weakly supervised causal representation learning

[nparent1]

Perhaps a bit non-standard for this library, but would causal learn be interested in providing some causal representation learning algorithms which work well on low-level data (pixels, etc)?

Maybe as a start, a weakly supervised CRL algorithm, like the one presented in Brehmer et al (2022)?

I would be interested in contributing if so!

Reference:
Brehmer, J., De Haan, P., Lippe, P., and Cohen, T. Weakly
supervised causal representation learning. arXiv preprint
arXiv:2203.16437, 2022.

[kunwuz]

Yeah, definitely this is something on the plan. But as you mentioned, it is a little bit different from the current goal of the library, which mainly focuses on discovering the structure (latent or observed) among variables. As a result, different infrastructures might be needed to support a wide range of CRL works. Would you mind ping me via email (yujiazh@cmu.edu), so that I could let you know when we start to work on these CRL methods, and discuss about it if you are still interested?