Testing for high-dimensional geometry in random graphs

Author:

Bubeck Sébastien1,Ding Jian2,Eldan Ronen3,Rácz Miklós Z.4

Affiliation:

1. Theory Group, Microsoft Research, and Department of Operations Research and Financial Engineering; Princeton University; Berkeley

2. Department of Statistics; University of Chicago; Berkeley

3. Department of Computer Science & Engineering; University of Washington; Berkeley

4. Department of Statistics; University of California; Berkeley

Publisher

Wiley

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Mathematics,Software

Reference29 articles.

1. E. Abbe A. Bandeira G. Hall Exact recovery in the stochastic block model 2014 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7298436&filter%3DAND%28p_IS_Number%3A4667673%29%26pageNumber%3D2

2. I. Abraham S. Chechik D. Kempe A. Slivkins Low-distortion inference of latent similarities from a multiplex social network organization 2013 1853 1883

3. N. Alon M. Krivelevich B. Sudakov Finding a large hidden clique in a random graph 1998 594 598

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