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Found 9 papers, 0 papers with code
Robust Linear Classification from Limited Training Data
Experiments on $25$ real-world datasets and three standard loss functions show that RoLin broadly outperforms both dimensionality reduction and regularization.
Overlapping Clustering Models, and One (class) SVM to Bind Them All
People belong to multiple communities, words belong to multiple topics, and books cover multiple genres; overlapping clusters are commonplace.
Estimating Mixed Memberships with Sharp Eigenvector Deviations
We consider the problem of estimating community memberships of nodes in a network, where every node is associated with a vector determining its degree of membership in each community.
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
The problem of finding overlapping communities in networks has gained much attention recently.
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels
Link prediction and clustering are key problems for network-structureddata.
Joint Inference of Multiple Label Types in Large Networks
We tackle the problem of inferring node labels in a partially labeled graph where each node in the graph has multiple label types and each label type has a large number of possible labels.
Nonparametric Link Prediction in Dynamic Networks
We propose a non-parametric link prediction algorithm for a sequence of graph snapshots over time.
Nonparametric Link Prediction in Large Scale Dynamic Networks
We propose a nonparametric approach to link prediction in large-scale dynamic networks.
