AINeutralarXiv – CS AI · 18h ago6/10
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Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables
Researchers develop a new causal discovery method for identifying cause-effect relationships in data with hidden variables and non-additive noise, proving identifiability under location-scale noise models and introducing the LSNM-UV algorithm that outperforms existing additive approaches on heteroscedastic data.