Danial Senejohnny

Causal inference techniques are crucial to understanding the impact of actions on outcomes. This talk shares lessons learned from applying these techniques in real-world scenarios where standard methods do not immediately apply.

Applying the tools and techniques from causal effect estimation in a practical setting can be challenging. Randomized experiments, as the golden standard method for effect estimation, are often not practical.