Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data

1 code implementation • 11 Dec 2023 • Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

We provide a candidate intervention target set which is a superset of the true intervention targets.

Causal Discovery in Linear Latent Variable Models Subject to Measurement Error

1 code implementation • 8 Nov 2022 • Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser

We demonstrate a somewhat surprising connection between this problem and causal discovery in the presence of unobserved parentless causes, in the sense that there is a mapping, given by the mixing matrix, between the underlying models to be inferred in these problems.

Causal Discovery

Causal Discovery in Linear Structural Causal Models with Deterministic Relations

1 code implementation • 30 Oct 2021 • Yuqin Yang, Mohamed Nafea, AmirEmad Ghassami, Negar Kiyavash

Linear structural causal models (SCMs)-- in which each observed variable is generated by a subset of the other observed variables as well as a subset of the exogenous sources-- are pervasive in causal inference and casual discovery.

Causal Discovery Causal Inference