Implicit Causal Models for Genome-wide Association Studies — mentioned by ml_thoughts

Sat, 19 May 2018 16:00:12 GMT

Worth noting that there has been a fair bit of good research in causal machine learning in the last year or so, for example "Implicit Causal Models for Genome-wide Association Studies" (https://arxiv.org/pdf/1710.10742.pdf). The key point of this paper is that neural networks really are very good at "curve fitting" and that this curve fitting in the context of variational inference has advantages for causal reasoning, too. Neural networks can be used in a variety of structures, and these structures tend to benefit from the inclusion of powerful trainable non-linear function approximators. In…

Paper and discussion history. A mention is not an endorsement.

Implicit Causal Models for Genome-wide Association Studies · HackerPapers discussions

Implicit Causal Models for Genome-wide Association Studies — mentioned by ml_thoughts