110 citations · 306 across the 11 of their papers we have counts for
4 papers · 1 filter
Distributed Nonconvex Optimization for Sparse Representation
Ying Sun, Gesualdo Scutari
We consider a non-convex constrained Lagrangian formulation of a fundamental bi-criteria optimization problem for variable selection in statistical learning; the two criteria are a…
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks
Ying Sun, Gesualdo Scutari, Daniel Palomar
We study nonconvex distributed optimization in multiagent networks where the communications between nodes is modeled as a time-varying sequence of arbitrary digraphs. We introduce…
Hierarchical low rank approximation of likelihoods for large spatial datasets
Huang Huang, Ying Sun
Datasets in the fields of climate and environment are often very large and irregularly spaced. To model such datasets, the widely used Gaussian process models in spatial statis- ti…
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation
Konstantinos Benidis, Ying Sun, Prabhu Babu +1
The problem of estimating sparse eigenvectors of a symmetric matrix attracts a lot of attention in many applications, especially those with high dimensional data set. While classic…