36 citations · 63 across the 12 of their papers we have counts for
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stat.ML2020★ 1 cited
Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
Kevin Miller, Hao Li, Andrea L. Bertozzi
We present a novel adaptation of active learning to graph-based semi-supervised learning (SSL) under non-Gaussian Bayesian models. We present an approximation of non-Gaussian distr…
stat.ML2020★ 6 cited
Posterior Consistency of Semi-Supervised Regression on Graphs
Andrea L. Bertozzi, Bamdad Hosseini, Hao Li +2
Graph-based semi-supervised regression (SSR) is the problem of estimating the value of a function on a weighted graph from its values (labels) on a small subset of the vertices. Th…