AITIA: Efficient Secure Computation of Bivariate Causal Discovery

ePrint Report: AITIA: Efficient Secure Computation of Bivariate Causal Discovery

Truong Son Nguyen, Lun Wang, Evgenios M. Kornaropoulos, Ni Trieu

Researchers across various fields seek to understand causal relationships but often find controlled experiments impractical. To address this, statistical tools for causal discovery from naturally observed data have become crucial. Non-linear regression models, such as Gaussian process regression, are commonly used in causal inference but have limitations due to high costs when adapted for secure computation. Support vector regression (SVR) …

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