45 citations · 202 across the 24 of their papers we have counts for
3 papers · 2 filters
Adaptive Non-Parametric Regression With the -NN Fused Lasso
Oscar Hernan Madrid Padilla, James Sharpnack, Yanzhen Chen +1
The fused lasso, also known as total-variation denoising, is a locally-adaptive function estimator over a regular grid of design points. In this paper, we extend the fused lasso to…
Fused Density Estimation: Theory and Methods
Robert Bassett, James Sharpnack
In this paper we introduce a method for nonparametric density estimation on geometric networks. We define fused density estimators as solutions to a total variation regularized max…
Estimating Graphlet Statistics via Lifting
Kirill Paramonov, Dmitry Shemetov, James Sharpnack
Exploratory analysis over network data is often limited by the ability to efficiently calculate graph statistics, which can provide a model-free understanding of the macroscopic pr…