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cs.LG2024
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating
Daisuke Takahashi, Shohei Shimizu, Takuma Tanaka
Explainable artificial intelligence (XAI) has helped elucidate the internal mechanisms of machine learning algorithms, bolstering their reliability by demonstrating the basis of th…
cs.LG2024★ 6 cited
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Masayuki Takayama, Tadahisa Okuda, Thong Pham +4
In practical statistical causal discovery (SCD), embedding domain expert knowledge as constraints into the algorithm is important for reasonable causal models reflecting the broad…