Zobrazeno 1 - 10
of 3 395
pro vyhledávání: '"Richens A"'
Autor:
Richens, Jonathan, Everitt, Tom
It has long been hypothesised that causal reasoning plays a fundamental role in robust and general intelligence. However, it is not known if agents must learn causal models in order to generalise to new domains, or if other inductive biases are suffi
Externí odkaz:
http://arxiv.org/abs/2402.10877
Autor:
Kenton, Zachary, Kumar, Ramana, Farquhar, Sebastian, Richens, Jonathan, MacDermott, Matt, Everitt, Tom
Causal models of agents have been used to analyse the safety aspects of machine learning systems. But identifying agents is non-trivial -- often the causal model is just assumed by the modeler without much justification -- and modelling failures can
Externí odkaz:
http://arxiv.org/abs/2208.08345
To act safely and ethically in the real world, agents must be able to reason about harm and avoid harmful actions. However, to date there is no statistical method for measuring harm and factoring it into algorithmic decisions. In this paper we propos
Externí odkaz:
http://arxiv.org/abs/2204.12993
Autor:
Smriti Prasad, MRCOG, Borna Poljak, MRCOG, Yana Richens, PhD, Chelone Lee-Wo, MSc, Asma Khalil, FRCOG
Publikováno v:
AJOG Global Reports, Vol 4, Iss 1, Pp 100314- (2024)
Externí odkaz:
https://doaj.org/article/96956abda270427582311c6b32feb163
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background There is limited research into how midwives use social media within their professional role. Small pilot studies have explored the introduction of social media into maternity practice and teaching but there is little evidence arou
Externí odkaz:
https://doaj.org/article/6d3417c6780f45988df67e96b3c85fb8
Autor:
Buchard, Albert, Bouvier, Baptiste, Prando, Giulia, Beard, Rory, Livieratos, Michail, Busbridge, Dan, Thompson, Daniel, Richens, Jonathan, Zhang, Yuanzhao, Baker, Adam, Perov, Yura, Gourgoulias, Kostis, Johri, Saurabh
Medical Triage is of paramount importance to healthcare systems, allowing for the correct orientation of patients and allocation of the necessary resources to treat them adequately. While reliable decision-tree methods exist to triage patients based
Externí odkaz:
http://arxiv.org/abs/2003.12828
The discovery of causal relationships is a fundamental problem in science and medicine. In recent years, many elegant approaches to discovering causal relationships between two variables from observational data have been proposed. However, most of th
Externí odkaz:
http://arxiv.org/abs/1910.10174
Autor:
Perov, Yura, Graham, Logan, Gourgoulias, Kostis, Richens, Jonathan G., Lee, Ciarán M., Baker, Adam, Johri, Saurabh
We elaborate on using importance sampling for causal reasoning, in particular for counterfactual inference. We show how this can be implemented natively in probabilistic programming. By considering the structure of the counterfactual query, one can s
Externí odkaz:
http://arxiv.org/abs/1910.08091
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases \emph{causing} them. However, existing diagnostic algorithms are purely
Externí odkaz:
http://arxiv.org/abs/1910.06772
Autor:
Kenton, Zachary, Kumar, Ramana, Farquhar, Sebastian, Richens, Jonathan, MacDermott, Matt, Everitt, Tom
Publikováno v:
In Artificial Intelligence September 2023 322