no code implementations • 7 Jun 2024 • Ting Tao, Yitian Qian, Shaohua Pan
This paper concerns a class of low-rank composite factorization models arising from matrix completion.
no code implementations • 29 Mar 2023 • Ting Tao, Ruyu Liu, Shaohua Pan
This paper concerns a class of DC composite optimization problems which, as an extension of convex composite optimization problems and DC programs with nonsmooth components, often arises in robust factorization models of low-rank matrix recovery.
no code implementations • 24 Aug 2020 • Ting Tao, Yitian Qian, Shaohua Pan
This paper is concerned with the column $\ell_{2, 0}$-regularized factorization model of low-rank matrix recovery problems and its computation.
no code implementations • 11 Nov 2019 • Ting Tao, Shaohua Pan, Shujun Bi
This paper is concerned with the squared F(robenius)-norm regularized factorization form for noisy low-rank matrix recovery problems.
no code implementations • 24 Aug 2019 • Shujun Bi, Ting Tao, Shaohua Pan
To cater for the scenario in which only a coarse estimation is available for the rank of the true matrix, an $\ell_{2, 0}$-norm regularized term is added to the factored loss function to reduce the rank adaptively; and account for the ambiguities in the factorization, a balanced term is then introduced.