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cs.LG2025
Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review
Bruno Deprez, Wei Wei, Wouter Verbeke +3
Financial institutions are required by regulation to report suspicious financial transactions related to money laundering. Therefore, they need to constantly monitor vast amounts o…
cs.LG2024
Uplift modeling with continuous treatments: A predict-then-optimize approach
Simon De Vos, Christopher Bockel-Rickermann, Stefan Lessmann +1
The goal of uplift modeling is to recommend actions that optimize specific outcomes by determining which entities should receive treatment. One common approach involves two steps:…