Artur Dubrawski

Clustering on the Edge: Learning Structure in Graphs

2016 · arXiv (Cornell University)

With the recent popularity of graphical clustering methods, there has been an increased focus on the information between samples. We show how learning cluster structure using edge features naturally and simultaneously determines the most likely …

Noise-Tolerant Interactive Learning from Pairwise Comparisons

2017 · arXiv (Cornell University)

We study the problem of interactively learning a binary classifier using noisy labeling and pairwise comparison oracles, where the comparison oracle answers which one in the given two instances is more likely to be positive. …