9 citations · 19 across the 7 of their papers we have counts for
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cs.AI2024
PORCA: Root Cause Analysis with Partially Observed Data
Chang Gong, Di Yao, Jin Wang +6
Root Cause Analysis (RCA) aims at identifying the underlying causes of system faults by uncovering and analyzing the causal structure from complex systems. It has been widely used…
cs.AI2024★ 9 cited
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong, Di Yao, Lei Zhang +4
In online advertising, marketing mix modeling (MMM) is employed to predict the gross merchandise volume (GMV) of brand shops and help decision-makers to adjust the budget allocatio…