Glassy Nature of the Hard Phase in Inference Problems
An algorithmically hard phase is described in a range of inference problems: Even if the signal can be reconstructed with a small error from an information-theoretic point of view, known algorithms fail unless the noise-to-signal ratio is sufficiently small. This hard phase is typically understood a...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2019-01-01
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Series: | Physical Review X |
Online Access: | http://doi.org/10.1103/PhysRevX.9.011020 |