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因果推断ZeroToAll
  • Home
  • People
  • Books&Courses
  • Papers
  • Conferences
  • Codes
    • tools
      • pyro
    • tutorials
    • projects
      • Pyro+PGM
  • More
    • Home
    • People
    • Books&Courses
    • Papers
    • Conferences
    • Codes
      • tools
        • pyro
      • tutorials
      • projects
        • Pyro+PGM

Tutorials

Causal Inference (微软)

Homepage: https://causalinference.gitlab.io/kdd-tutorial/

This tutorial will introduce participants to concepts in causal inference and counterfactual reasoning, drawing from a broad literature on the topic from statistics, social sciences and machine learning.

Definition, Intuition, Example, Keep in mind 每个方法都要有

复杂系统因果教程

  • The Online Algorithmic Complexity Calculator
  • Complexity Explorer youtube
  • Hector Zenil Youtube
  • Algorithmic Nature Group


Understandings and Summaries:

  • Big Picture of KDD2018tutorial: 阅读笔记和解读

该 slide 把原来教程中四个 slides 合并成一个, 加上一些自己的解决, 重点把握 the big picture causal inference.

  • KDD2018tutorial (I) 快速整体理解

该 notebook 是关于整个教程的一个快速整体理解。

AAAI-WHY 2019 https://why19.causalai.net/index.html# 有许多相关的教程和报告

  • Causality + Computer Vision & Imagination
  • Causality + Machine Learning & Artificial Intelligence
  • Causality + the Social Sciences & Economics
  • Causality + the Health Sciences

Big Picture 系列

1. Roadmap for causal inference and an end-to-end example

2. The future of data science --causal inference

Lauritzen - Unknown - Recapitulating Bayesian networks Causal Bayesian networks Structural equation systems Computation of effects Id(2).pdf

Chain graph(2013) Steffen, University of Oxford

why19-gerstenberg.pdf

因果 in cognition, Tobias Gerstenberg, Standford

2019 AAAI-WHY --Pearl

why19-pearl.ppt

2016 统计年会 ---Pearl

jsm-august2016causal_inf.ppt


bernhard_scholkopf.pdf

马普智能所 Bernhard(NIPS2018)

This website is created by Heyang Gong, CausalAI, zj3712@gmail.com

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