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Please comment with anything you'd like included. Will send out around 18th October
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https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwab201/6322279 (code: https://github.com/amishler/nonparametricDoublyRobust)
related: https://github.com/yqzhong7/AIPW
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https://github.com/connachermurphy/causal-machine-learning/blob/56ce82f59c67e2490050724284e0c4899e6aa106/automatic_inference/automatic_inference.py#L255
Hi @connachermurphy! Thanks for posting your…
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**Notebooks & Github codes**
- [ ] [Quickstart Notebook for using Causalgraphicalmodels python module: used to describe and manipulate Causal Graphical Models and Structural Causal Models. ](https:…
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## 一言でいうと
予測に基づく因果推論の手法と、「予測」を行うための機械学習手法についてまとめられた記事。治療への割り当て確率を計算する傾向スコア(割り当て確率が等しい人をペアにする)、傾向スコアの逆数を使って比較対象を揃えるIPTWs、治療の平均効果を計算するG-computationなどが紹介されている。
### 論文リンク
https://academic.oup.com…
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First of all, let me say how awesome I find the integration between econml and dowhy - I very much prefer expressing my problem in the graph language, and then choosing the right EconML machinery to s…
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# Overview
## Causality for Machine Learning
Arxiv: https://arxiv.org/abs/1911.10500
![image](https://user-images.githubusercontent.com/6381645/85252943-5c329b00-b45d-11ea-9323-cc0289a1933…
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### System Info
```Shell
- `Accelerate` version: 0.33.0
- Platform: Linux-6.8.0-41-generic-x86_64-with-glibc2.39
- `accelerate` bash location: /mnt/rangehow/miniconda3/bin/accelerate
- Python v…
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# Summary
Causal Discovery란 주어진 데이터로부터 원래의 인과 그래프를 찾는 것입니다.
기존에 다뤘던 Causal Inference는 (인과 그래프를 가정한 상황에서) 처치의 효과를 추정하는 것입니다.
## Preliminary
### Pearl's Causal Model
Judea Pearl 교수님은 Observation…