Ensemble Learning
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman
The UN estimates 2-5% of global GDP or $0.8 - $2.0 trillion dollars are laundered
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RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
The Rashomon effect is a mixed blessing in responsible machine learning.
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Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees Nicolas Beltran-V elez
Probabilistic prediction aims to compute predictive distributions rather than single point predictions. These distributions enable practitioners to quantify uncertainty, compute risk, and detect outliers. However, most probabilistic methods assume parametric responses, such as Gaussian or Poisson distributions.
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