Convergence conjecture for the coordinate-descent PARAFAC algorithm

Let {Ak}\{\mathbf{A}^k\} be the sequence generated by Algorithm, where Ak\mathbf{A}^k is the solution (A(1),A(2),,A(N))(\mathbf{A}^{(1)},\mathbf{A}^{(2)},\ldots,\mathbf{A}^{(N)}) in the kk-th iteration of the repeat loop. Assume that {Ak}\{\mathbf{A}^k\} is bounded. Convergence conjecture. The sequence {Ak}\{\mathbf{A}^k\} converges to a critical point Aˉ\bar{\mathbf{A}}. The convergence theorem for this multiconvex stochastic scheme is not clear; the conjecture asserts convergence under boundedness, while no proof or resolution is supplied here.

Sources & referencesView supporting material

Primary source

Songting Shi, Xiang Li, Arkadiusz Sitek and Quanzheng Li, “Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net”, arXiv:1705.10015 (2017).

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.