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

- 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.

- 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

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