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math.OC2026
The Geometry of Anisotropic Dilation for Optimal Regularization
Carson Newman, Oscar Leong
How can structured transformations of data improve regularizer design for inverse problems? We address this question through anisotropic dilation, a direction-preserving map that r…
math.OC2022★ 1 cited
Optimal Regularization for a Data Source
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh +1
In optimization-based approaches to inverse problems and to statistical estimation, it is common to augment criteria that enforce data fidelity with a regularizer that promotes des…