activity
20172025
most citedOn the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms

13 citations · 13 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2017★ 13 cited

On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms

Nicolas Garcia Trillos, Zachary Kaplan, Thabo Samakhoana +1

A popular approach to semi-supervised learning proceeds by endowing the input data with a graph structure in order to extract geometric information and incorporate it into a Bayesi…