16 citations · 20 across the 10 of their papers we have counts for
4 papers · 1 filter
CVaR anchor regression protects against rare shifts
Malte Londschien
We study prediction in new environments when the training data contains rare, large distribution shifts. Anchor regression penalizes the average of the squared mean residual across…
Machine-Learning-Powered Specification Testing in Linear Instrumental Variable Models
Cyrill Scheidegger, Malte Londschien, Peter Bühlmann
The linear instrumental variable (IV) model is widely used in observational studies, yet its validity hinges on strong assumptions. Classical specification tests such as the Sargan…
WiNNbeta: Batch and drift correction method by white noise normalization for metabolomic studies
Olga Demler, Franco Giulianini, Yanyan Liu +5
We developed a method called batch and drift correction method by White Noise Normalization (WiNNbeta) to correct individual metabolites for batch effects and drifts. This method t…
Random Forests for Change Point Detection
Malte Londschien, Peter Bühlmann, Solt Kovács
We propose a novel multivariate nonparametric multiple change point detection method using classifiers. We construct a classifier log-likelihood ratio that uses class probability p…