A Brief Introduction to Causal Inference in Machine Learning

A Brief Introduction to Causal Inference in Machine Learning

Created 19 May 2024
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Introducing students to expand their view and knowledge of machine learning to incorporate causal reasoning

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Exercises
Probabilistic Graphical Models
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A Basic Setup
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Active Causal Inference
Causal Quantities of Interest
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Regression: Causal Inference can be Trivial
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Randomized Controlled Trials
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Causal Inference vs. Outcome Maximization
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When Some Confounders are Observed
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Summary
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Passive Causal Inference
Challenges in Randomized Controlled Trials
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When Confounders were also Collected
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Instrumental Variables: When Confounders were not Collected
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Summary
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Causality and Machine Learning
Out-of-Distribution Generalization
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Invariance: Stable Correlations are Causal Correlations
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Prediction vs. Causal Inference
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A Case Study: Language Modeling with Pairwise Preference
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Summary
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Remaining Topics
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