Titlebook: Machine Learning and Knowledge Discovery in Databases: Research Track; European Conference, Danai Koutra,Claudia Plant,Francesco Bonchi Con

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Machine Learning and Knowledge Discovery in Databases: Research Track978-3-031-43415-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Scoring Rule Nets: Beyond Mean Target Prediction in?Multivariate Regressioncorrelation. We then show in a variety of experiments on both synthetic and real data, that Conditional CRPS often outperforms MLE, and produces results comparable to state-of-the-art non-parametric models, such as Distributional Random Forest (DRF).

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Rényi Divergence Deep Mutual Learningll reach nearby local optima but continue searching within a bounded scope, which may help mitigate overfitting. Finally, our extensive empirical results demonstrate the advantage of combining DML and the?Rényi divergence, leading to further improvement in model generalization.