NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
This is the best paper in my docket. It clearly articulates an interesting blind deconvolution problem, describes a Huber loss function with a nice geometric interpretation, and shows how the proposed method leads to significant improvements over the prior SOTA. Not only is the approach novel, but the derivation and analysis have some novel components as well.