A complete criterion for value of information in soluble influence diagrams

C Van Merwijk, R Carey, T Everitt - … of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Influence diagrams have recently been used to analyse the safety and fairness properties of
AI systems. A key building block for this analysis is a graphical criterion for value of …

[PDF][PDF] Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability.

CH Hsieh, JHR Jiang - IJCAI, 2022 - academia.edu
Statistical inference is a powerful technique in various applications. Although many
statistical inference tools are available, answering inference queries involving complex …

Approximate Inference for Stochastic Planning in Factored Spaces

Z Wu, R Khardon - International Conference on Probabilistic …, 2022 - proceedings.mlr.press
Stochastic planning can be reduced to probabilistic inference in large discrete graphical
models, but hardness of inference requires approximation schemes to be used. In this paper …

Solving decision problems with endogenous uncertainty and conditional information revelation using influence diagrams

O Herrala, T Ekholm, F Oliveira - arxiv preprint arxiv:2304.02338, 2023 - arxiv.org
Despite methodological advances for modeling decision problems under uncertainty,
representing endogenous uncertainty still proves challenging both in terms of modeling …