Slide 34
Slide 34 text
Reference
34
(Papers)
● [Shalit et al., 2017] Shalit, Uri, Fredrik D. Johansson, and David Sontag. “Estimating individual treatment effect:
generalization bounds and algorithms.” International Conference on Machine Learning. PMLR, 2017
● [Johansson et al., 2016] Johansson, Fredrik, Uri Shalit, and David Sontag. “Learning representations for
counterfactual inference.” International conference on machine learning. PMLR, 2016.
● [Takeuchi et al., 2021] Takeuchi, Koh, et al. “Grab the Reins of Crowds: Estimating the Effects of Crowd Movement
Guidance Using Causal Inference.” arXiv preprint arXiv:2102.03980, 2021.
● [Ganin et al., 2016] Ganin, Y.; Ustinova, E.; Ajakan, H.; Germain, P.; Larochelle, H.; Laviolette, F.; Marchand, M.; and
Lempitsky, V. “Domain-adversarial training of neural networks.” Journal of Machine Learning Research
17(1):2096–2030, 2016.
(Python code)
● [cfrnet] https://github.com/clinicalml/cfrnet
● [SC-CFR] https://github.com/koh-t/SC-CFR