Nonconvex Low-Rank Symmetric Tensor Completion
        from Noisy Data

   Changxiao Cai          Gen Li       H. Vincent Poor        Yuxin Chen
  Princeton University    Tsinghua University    Princeton University    Princeton University

                         Abstract
       We study a completion problem of broad practical interest: the reconstruction
       of a low-rank symmetric tensor from highly incomplete and randomly corrupted
       observations of its entries. While a variety of pr ...