most citedIterative Alpha Expansion for estimating gradient-sparse signals from linear measurements

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2020

Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS

Lin Chen, Sheng Xu

We prove that the reproducing kernel Hilbert spaces (RKHS) of a deep neural tangent kernel and the Laplace kernel include the same set of functions, when both kernels are restricte…

stat.ML2020

Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs

Sheng Xu, Zhou Fan, Sahand Negahban

We study estimation of a gradient-sparse parameter vector , having strong gradient-sparsity on an underlying g…

stat.ML2019★ 3 cited

Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements

Sheng Xu, Zhou Fan

We consider estimating a piecewise-constant image, or a gradient-sparse signal on a general graph, from noisy linear measurements. We propose and study an iterative algorithm to mi…