In this talk, I will discuss recent work on reasoning and learning with soft interventions, including the problem of identification, extrapolation/transportability, and structural learning. I will also briefly discuss a new calculus, which generalizes the do-calculus, as well as algorithmic and graphical conditions.

Supporting material:

General Transportability of Soft Interventions: Completeness Results .
J. Correa, E. Bareinboim.
In Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS), 2020.
https://causalai.net/r68.pdf

Causal Discovery from Soft Interventions with Unknown Targets: Characterization & Learning.
A. Jaber, M. Kocaoglu, K. Shanmugam, E. Bareinboim.
In Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS), 2020.
https://causalai.net/r67.pdf

A Calculus For Stochastic Interventions: Causal Effect Identification and Surrogate Experiments
J. Correa, E. Bareinboim.
In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2019.
https://causalai.net/r55.pdf