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We study the problem of recovering the latent ground truth labeling of a structured instance with categorical random variables in the presence of noisy observations.
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Shin, J., Wu, S., Wang, F., De Sa, C., Zhang, C., and Ré, C · 1907
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Approximate inference in structured instances with noisy categorical observations
Heidari, A., Ilyas, I. F., and Rekatsinas, T
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A formal framework for probabilistic unclean databases
Sa, C. D., Ilyas, I. F., Kimelfeld, B., Ré, C., and Rekatsinas, T · 2019
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