6 citations · 9 across the 3 of their papers we have counts for
3 papers
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…
eess.IV2019★ 2 cited
Semi-Supervised First-Person Activity Recognition in Body-Worn Video
Honglin Chen, Hao Li, Alexander Song +6
Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage. This paper studies the problem…