Corpus ID: 207870251

Iterative Algorithm for Discrete Structure Recovery

@article{Gao2019IterativeAF,
  title={Iterative Algorithm for Discrete Structure Recovery},
  author={C. Gao and A. Zhang},
  journal={arXiv: Statistics Theory},
  year={2019}
}
We propose a general modeling and algorithmic framework for discrete structure recovery that can be applied to a wide range of problems. Under this framework, we are able to study the recovery of clustering labels, ranks of players, and signs of regression coefficients from a unified perspective. A simple iterative algorithm is proposed for discrete structure recovery, which generalizes methods including Lloyd's algorithm and the iterative feature matching algorithm. A linear convergence result… Expand
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