19 citations · 29 across the 3 of their papers we have counts for
9 papers
Vintage Factor Analysis with Varimax Performs Statistical Inference
Karl Rohe, Muzhe Zeng
Psychologists developed Multiple Factor Analysis to decompose multivariate data into a small number of interpretable factors without any a priori knowledge about those factors. In…
Targeted sampling from massive block model graphs with personalized PageRank
Fan Chen, Yini Zhang, Karl Rohe
The paper provides statistical theory and intuition for personalized PageRank (called "PPR"): a popular technique that samples a small community from a massive network. We study a…
Reducing Seed Bias in Respondent-Driven Sampling by Estimating Block Transition Probabilities
Yilin Zhang, Karl Rohe, Sebastien Roch
Respondent-driven sampling (RDS) is a popular approach to study marginalized or hard-to-reach populations. It collects samples from a networked population by incentivizing particip…
Asymptotic Seed Bias in Respondent-driven Sampling
Yuling Yan, Bret Hanlon, Sebastien Roch +1
Respondent-driven sampling (RDS) collects a sample of individuals in a networked population by incentivizing the sampled individuals to refer their contacts into the sample. This i…
Understanding Regularized Spectral Clustering via Graph Conductance
Yilin Zhang, Karl Rohe
This paper uses the relationship between graph conductance and spectral clustering to study (i) the failures of spectral clustering and (ii) the benefits of regularization. The exp…
A note on quickly sampling a sparse matrix with low rank expectation
Karl Rohe, Jun Tao, Xintian Han +1
Given matrices and with positive elements, this paper proposes an algorithm fastRG to sample a sparse matrix with low rank expec…