Bayesian estimation from few samples: community detection and related problems

arXiv: Data Structures and Algorithms, Volume abs/1710.00264, 2017.

Cited by: 8|Views10


We propose an efficient meta-algorithm for Bayesian estimation problems that is based on low-degree polynomials, semidefinite programming, and tensor decomposition. algorithm is inspired by recent lower bound constructions for sum-of-squares and related to the method of moments. focus is on sample complexity bounds that are as tight as ...More



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