most citedConvex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs

3 citations · 3 across the 1 of their papers we have counts for

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stat.ML2020★ 3 cited

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs

Yuxin Chen, Jianqing Fan, Bingyan Wang +1

We investigate the effectiveness of convex relaxation and nonconvex optimization in solving bilinear systems of equations under two different designs (i.e.a sort of random Fouri…