Causal Inference Repository

I. From Propensity Score Matching to Latent Causal Representation Learning!

II. Will cover a variety of topics regarding causal inference

III. Prerequisites will also be dealt in terms of code (ex: NN based Generalized Additive Models)

(Above) Example of Latent causal representation learning

*Reference

[1] X. Zheng et al., “Dags with no tears: Continuous optimization for structure learning”, Advances in neural information processing systems, arXiv:1803.01422v2, pp. 1-22, 2018.

[2] Y. Yu et al., “DAG-GNN: DAG Structure Learning with Graph Neural Networks”, arXiv:1904.10098v1, pp. 1-12, 2019.

[3] A. Perperoglou et al. A review of spline function procedures in R. BMC Medical Research Methodology. Vol. 19. no. 46. 2019.