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cs.LG2026
Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
Xiao Han, Jingjing Liu, Moxuan Zheng +2
A total of seven categorical encoding methods were tested on the IEEE-CIS fraud benchmark dataset (590,540 records, 3.5% positives, 8 high-cardinality columns). The encoders were e…
cs.LG2025
Verifying Computational Graphs in Production-Grade Distributed Machine Learning Frameworks
Kahfi S. Zulkifli, Wenbo Qian, Shaowei Zhu +3
Modern machine learning frameworks support very large models by incorporating parallelism and optimization techniques. Yet, these very techniques add new layers of complexity, intr…