4 papers
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
Debargha Ghosh, Silja Renooij, Anna V. Kononova
Bayesian causal discovery is widely used for its ability to quantify epistemic uncertainty over directed acyclic graphs (DAGs) through posterior inference. However, its behaviour u…
Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection
Mathieu Cherpitel, Thomas Bäck, Martijn R. Tannemaat +1
Unsupervised feature selection is commonly formulated as a multiobjective optimisation problem that jointly optimises subset quality and subset size. Yet the behaviour of this form…
Uniqueness sets with angular density for spaces of entire functions, II:
Anna Kononova
In this note, which is the second part of a three-part series, we focus on uniqueness sets specifically in the case of spaces of entire functions of exponential type. As in the fir…
Uniqueness sets with angular density for spaces of entire functions, I. Basics
Anna Kononova
This is the first part of our work which is devoted to the uniqueness sets for spaces of entire functions. In this part we consider a set with angular density with respect to t…