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The computational costs of recipient design and intention recognition in communication.

, , , , , and . CogSci, cognitivesciencesociety.org, (2011)

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The Parameterized Complexity of Approximate Inference in Bayesian Networks.. Probabilistic Graphical Models, volume 52 of JMLR Workshop and Conference Proceedings, page 264-274. JMLR.org, (2016)The Computational Complexity of Sensitivity Analysis and Parameter Tuning, and . CoRR, (2012)Predictive coding and the Bayesian brain: Intractability hurdles that are yet to be overcome., and . CogSci, cognitivesciencesociety.org, (2013)Complexity results for enhanced qualitative probabilistic networks., and . Int. J. Approx. Reasoning, 48 (3): 879-888 (2008)Constraints on Bayesian Explanation., , , , and . CogSci, cognitivesciencesociety.org, (2013)What senses of agency can infants have?, , , , and . CogSci, cognitivesciencesociety.org, (2015)Tree-Width and the Computational Complexity of MAP Approximations in Bayesian Networks.. J. Artif. Intell. Res., (2015)Local Monotonicity in Probabilistic Networks., , and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 548-559. Springer, (2007)Structure Approximation of Most Probable Explanations in Bayesian Networks.. ECSQARU, volume 7958 of Lecture Notes in Computer Science, page 340-351. Springer, (2013)Finding Dissimilar Explanations in Bayesian Networks: Complexity Results.. BNCAI, volume 1021 of Communications in Computer and Information Science, page 65-72. Springer, (2018)