AutoPC optimizes hyperparameters for the PC algorithm to improve its performance.
problem The unsupervised nature of the PC algorithm makes it difficult to tune the Type I level.
method AutoPC optimizes directly for a chosen metric and ensures stability through a second run.
result AutoPC consistently outperforms state-of-the-art methods across multiple metrics.