activity
20102018
most citedModel Selection for Degree-corrected Block Models

108 citations · 179 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ML2018★ 1 cited

Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace

Murat Ali Bayir, Mingsen Xu, Yaojia Zhu +1

In this paper, we propose an offline counterfactual policy estimation framework called Genie to optimize Sponsored Search Marketplace. Genie employs an open box simulation engine w…

cs.LG2013★ 56 cited

Scalable Text and Link Analysis with Mixed-Topic Link Models

Yaojia Zhu, Xiaoran Yan, Lise Getoor +1

Many data sets contain rich information about objects, as well as pairwise relations between them. For instance, in networks of websites, scientific papers, and other documents, ea…

cs.SI2012★ 108 cited

Model Selection for Degree-corrected Block Models

Xiaoran Yan, Cosma Rohilla Shalizi, Jacob E. Jensen +5

The proliferation of models for networks raises challenging problems of model selection: the data are sparse and globally dependent, and models are typically high-dimensional and h…

cs.SI2012★ 10 cited

Oriented and Degree-generated Block Models: Generating and Inferring Communities with Inhomogeneous Degree Distributions

Yaojia Zhu, Xiaoran Yan, Cristopher Moore

The stochastic block model is a powerful tool for inferring community structure from network topology. However, it predicts a Poisson degree distribution within each community, whi…

cs.IT2011

Active Learning for Node Classification in Assortative and Disassortative Networks

Cristopher Moore, Xiaoran Yan, Yaojia Zhu +2

In many real-world networks, nodes have class labels, attributes, or variables that affect the network's topology. If the topology of the network is known but the labels of the nod…

stat.ML2010★ 4 cited

Active Learning for Hidden Attributes in Networks

Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier +1

In many networks, vertices have hidden attributes, or types, that are correlated with the networks topology. If the topology is known but these attributes are not, and if learning…