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paper_causalinference_abtest's Introduction

以上资料均来自互联网,如有侵权请提issue,感谢~

这里是因果推理和AB实验相关的小书库,大多只是走过路过看过的一些paper,不100%保质保量保全,也欢迎发现好玩paper的小伙伴贡献自己的一份力量~

Conferenc

2021 10.20 Judea Pearl及因果领域众多专家将聚焦因果机器学习的现状以及未来发展 2021Summit 因果机器学习第一场

KDD 8.15的vitrual conf,Uber&微软联合推销各自的开源项目Causalml&EconML,case study给的还是很有诚意的可以期待一下~ Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

读书笔记

因果推理的春天系列序 - 数据挖掘中的Confounding, Collidar, Mediation Bias

AB实验的高端玩法系列1 - AB实验人群定向/个体效果差异/HTE/Uplift Model 论文github收藏

AB实验的高端玩法系列2 - 更敏感的AB实验, CUPED!

AB实验的高端玩法系列3 - AB组不随机?观测试验?Propensity Score

AB实验的高端玩法系列4- 实验渗透低?用户未被触达?CACE/LATE

AB实验人群定向HTE模型1 - Causal Tree

AB实验人群定向HTE模型2 - Causal Tree with Trigger

AB实验人群定向HTE模型4 - Double Machine Learning

AB实验人群定向HTE模型5 - Meta Learner

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