38 citations · 195 across the 35 of their papers we have counts for
Showing 2018 · stat.MLShow all
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stat.ML2018★ 7 cited
Analysis of Network Lasso for Semi-Supervised Regression
A. Jung, N. Vesselinova
We apply network Lasso to semi-supervised regression problems involving network structured data. This approach lends quite naturally to highly scalable learning algorithms in the f…
stat.ML2018
On The Complexity of Sparse Label Propagation
Alexander Jung
This paper investigates the computational complexity of sparse label propagation which has been proposed recently for processing network structured data. Sparse label propagation a…
stat.ML2018
Graph Signal Sampling via Reinforcement Learning
Oleksii Abramenko, Alexander Jung
We formulate the problem of sampling and recovering clustered graph signal as a multi-armed bandit (MAB) problem. This formulation lends naturally to learning sampling strategies u…