Search Results for author: Daniel Grünbaum

Found 2 papers, 1 papers with code

Causally Learning an Optimal Rework Policy

no code implementations7 Jun 2023 Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof

In this paper, we apply double/debiased machine learning (DML) to estimate the conditional treatment effect of a rework step during the color conversion process in opto-electronic semiconductor manufacturing on the final product yield.

Quantitative probing: Validating causal models using quantitative domain knowledge

2 code implementations7 Sep 2022 Daniel Grünbaum, Maike L. Stern, Elmar W. Lang

We present quantitative probing as a model-agnostic framework for validating causal models in the presence of quantitative domain knowledge.

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