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stat.ML2024
Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models
Samyajoy Pal, Christian Heumann
This study tackles the efficient estimation of Kullback-Leibler (KL) Divergence in Dirichlet Mixture Models (DMM), crucial for clustering compositional data. Despite the significan…
stat.ML2023
Using interpretable boosting algorithms for modeling environmental and agricultural data
Fabian Obster, Christian Heumann, Heidi Bohle +1
We describe how interpretable boosting algorithms based on ridge-regularized generalized linear models can be used to analyze high-dimensional environmental data. We illustrate thi…