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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Marginal Entropies for Causal Inference and Quantum Non-Locality
Marginal Entropies for Causal Inference and Quantum Non-LocalityAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani. Mathematical Challenges in Quantum Information Co-authors: Rafael Chaves (University of Freiburg), Lukas Luft (University of Freiburg) The fields of quantum non-locality in physics, and causal discovery in machine learning, both face the problem of deciding whether observed data is compatible with a presumed causal relationship between the variables (for example a local hidden variable model). Traditionally, Bell inequalities have been used to describe the restrictions imposed by causal structures on marginal distributions. However, some structures give rise to non-convex constraints on the accessible data, and it has recently been noted that linear inequalities on the observable entropies capture these situations more naturally. In this talk, I will introduce the machine learning background, advertise the program of investigating entropic marginals, and present some recent results. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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