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Found 2 papers, 1 papers with code
Stagewise Boosting Distributional Regression
We show that gradient boosting in this case oftentimes results in suboptimal models, especially for complex problems certain distributional parameters are never updated due to the vanishing gradient.
Scalable Estimation for Structured Additive Distributional Regression
Recently, fitting probabilistic models have gained importance in many areas but estimation of such distributional models with very large data sets is a difficult task.
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