causal-reading-group-23

Reading List

Related Courses

• Causal Inference and Learning by Prof. Elena Zheleva.
• Introduction to Causal Inference by Brady Neal.
• A First Course in Causal Inference by Peng Ding.

Books

• Causal Inference in Statistics: A Primer by Judea Pearl, Madelyn Glymour, Nicholas Jewell.
• The Book of Why by Judea Pearl and Dana Mackenzie.
• Causal Inference: What If (the book) by Miguel Hernan.

Papers

• Domain Generalization using Causal Matching
• Estimation of Causal Peer Influence Effects
• Causal Deep Learning
• Learning Causal Attributions in Neural Networks: Beyond Direct Effects
• Matching Learned Causal Effects of Neural Networks with Domain Priors
• Controlling the False Discovery Rate via Knockoffs

Others

• Blog explaining the rules of do-Calculus by Andrew Heiss.