Search Results for author: Dominik Rothenhäusler

Found 4 papers, 3 papers with code

Learning under random distributional shifts

no code implementations5 Jun 2023 Kirk Bansak, Elisabeth Paulson, Dominik Rothenhäusler

Thus, we consider a class of random distribution shift models that capture arbitrary changes in the underlying covariate space, and dense, random shocks to the relationship between the covariates and the outcomes.

The $s$-value: evaluating stability with respect to distributional shifts

1 code implementation7 May 2021 Suyash Gupta, Dominik Rothenhäusler

We evaluate the performance of the proposed measure on real data and show that it can elucidate the distributional instability of a parameter with respect to certain shifts and can be used to improve estimation accuracy under shifted distributions.

Anchor regression: heterogeneous data meets causality

2 code implementations18 Jan 2018 Dominik Rothenhäusler, Nicolai Meinshausen, Peter Bühlmann, Jonas Peters

If anchor regression and least squares provide the same answer (anchor stability), we establish that OLS parameters are invariant under certain distributional changes.

Methodology

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