no code implementations • 10 May 2024 • Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal
Collective action in Machine Learning is the study of the control that a coordinated group can have over machine learning algorithms.
no code implementations • 17 Jul 2023 • Jake Fawkes, Robin J. Evans
In this paper we provide a theoretical analysis of counterfactual invariance.
1 code implementation • 26 Jan 2023 • Shahine Bouabid, Jake Fawkes, Dino Sejdinovic
A directed acyclic graph (DAG) provides valuable prior knowledge that is often discarded in regression tasks in machine learning.
1 code implementation • 9 Dec 2022 • Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic
These improved estimators are inspired by doubly robust estimators of the causal mean, using a similar form within the kernel space.
no code implementations • 28 Feb 2022 • Jake Fawkes, Robin Evans, Dino Sejdinovic
In order to achieve this, we must have causal models that are able to capture what someone would be like if we were to counterfactually change these traits.