1. Learning representations for counterfactual inference;johansson;ICML,2016
2. Coupling-based invertible neural networks are universal diffeomorphism approximators;teshima;NeurIPS,2020
3. Bayesian Nonparametric Modeling for Causal Inference
4. Estimating individual treatment effect: generalization bounds and algorithms;shalit;ICML,2017
5. Glow: Generative flow with invertible 1x1 convolutions;kingma;NeurIPS,2018