Using Double Machine Learning and Linear Programming to optimise treatment strategies

Towards Reliable Synthetic Control

Linear Regressions for Causal Conclusions

De-biasing Treatment Effects with Double Machine Learning

Causal Machine Learning: What Can We Accomplish with a Single Theorem?

Clustered Standard Errors in AB Tests

Using Causal Graphs to answer causal questions

Making Causal Discovery work in real-world business settings

TARNet and Dragonnet: Causal Inference Between S- And T-Learners

How to Learn Causal Inference on Your Own for Free