A measure-theoretic axiomatisation of causality

J Park, S Buchholz, B Schölkopf… - Advances in Neural …, 2023 - proceedings.neurips.cc
Causality is a central concept in a wide range of research areas, yet there is still no
universally agreed axiomatisation of causality. We view causality both as an extension of …

A measure-theoretic axiomatisation of causality and kernel regression

J Park - 2024 - tobias-lib.ub.uni-tuebingen.de
This thesis is composed of two broad strands of research. The first part of the thesis will
discuss causality, with focus on a novel, measure-theoretic axiomatisation thereof, and the …

Using Expert Interpretation and Reasoning to Guide Model Selection in Machine Learning

J Wang - 2022 - deepblue.lib.umich.edu
In using machine learning to train predictive models, training data often under-specify
solutions due to limited sample size and/or the lack of diversity in samples. When selecting a …