There are economists who are working on ML and causal inference. I know of no courses but I can refer you to some papers... (These titles are from memory bc

There are economists who are working on ML and causal inference. I know of no courses but I can refer you to some papers... (These titles are from memory bc I am typing with one hand as I hold a sleeping infant with the other.) - taddy, et al “deep IV”. - Greg Lewis at Microsoft research has work here too... the title of that paper I cannot remember. - Farrell, Liang and Misra, “neural networks for estimation and inference” (econometrica 2021) - For non neural network based ml informed approaches to causal inference, victor chernozhukov, alexandre Belloni and Christian Hansen have a long series of papers going back to 2011 (sometimes with other coauthors) which are generally based on the LASSO in settings with many instrumental variables. - chernozhukov, demirer, duflo, et al have a paper on “double machine learning” which is relevant. I think there is relevant work in biostat by Jamie Robins, but that is not my field. - athey, imbens and wager have papers on random forest based approaches - at least one is in JASA. Might be called “causal forests” ? - since economists frequently estimate in the GMM (generalIzed method of moments, not Gaussian mixture model) framework, there is some recent work by... Kallus (?) on formulating GMM as an adversarial game. Greg lewis and V. Syrgkanis have also worked on this problem but the title of the paper escapes me. I would like to teach this material myself so there will one day be a class (inshallah) but so far have not had time to organize it yet!