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cs.LG2024
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou, Linxiao Yang, Xingyu Liu +3
In causal inference, estimating heterogeneous treatment effects (HTE) is critical for identifying how different subgroups respond to interventions, with broad applications in field…
cs.SE2024
SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice
Rui Ren, Jingbang Yang, Linxiao Yang +2
The newly deployed service -- one kind of change service, could lead to a new type of minority fault. Existing state-of-the-art methods for fault localization rarely consider the i…