6.4k citations · 14.8k across the 73 of their papers we have counts for
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stat.ML2020★ 14 cited
Domain adaptation under structural causal models
Yuansi Chen, Peter Bühlmann
Domain adaptation (DA) arises as an important problem in statistical machine learning when the source data used to train a model is different from the target data used to test the…
stat.ML2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
Domagoj Ćevid, Loris Michel, Jeffrey Näf +2
Random Forest (Breiman, 2001) is a successful and widely used regression and classification algorithm. Part of its appeal and reason for its versatility is its (implicit) construct…