[북마크] Counterfactual Randomization:Rescuing Experimental Studies from Obscured Confounding (Andrew Forney, AAAI 2019)

2022. 1. 24. 11:09

[북마크] Learning "What-if" Explanations for Sequential Decision-Making (Ioana Bica, ICLR 2021) (0)	2022.01.27
[참고자료] Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark (김예진 교수님) (0)	2022.01.25
[북마크] Estimating counterfactual treatment outcomes over time through adversarially balanced representations (Ioana Bica, ICLR 2020 Spotlight) (0)	2022.01.20
[북마크] Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space (ICLR 2022 Under Review) (0)	2022.01.20
[요약] CausalDyna: Improving Generalization of Dyna-style Reinforcement Learning via Counterfactual-Based Data Augmentation (ICLR 2022 under review) (0)	2021.10.08

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