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SPARSER: Sparse Variable Projection by Exploiting Separable Structure in Robotic Perception
Robotic perception often requires solving large nonlinear least-squares (NLS) problems. While sparsity has been widely exploited to scale solvers, a complementary and underused structure is \emph{separability}: some variables, such as visual landmarks, appear linearly in the residuals and admit a cl
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