Yuqin Yang — accepted AI-conference papers

2024

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

AISTATS 2024poster

We study the problem of identifying the unknown intervention targets in structural causal models where we have access to heterogeneous data collected from multiple environments. The unknown intervention targets are the set of endogenous variables whose corresponding exogenous noises change across th…

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2022

Causal Discovery in Linear Latent Variable Models Subject to Measurement Error

Yuqin Yang, AmirEmad Ghassami, Mohamed S Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser

NeurIPS 2022accept

We focus on causal discovery in the presence of measurement error in linear systems where the mixing matrix, i.e., the matrix indicating the independent exogenous noise terms pertaining to the observed variables, is identified up to permutation and scaling of the columns. We demonstrate a somewhat s…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗