46 citations · 192 across the 23 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2016★ 29 cited
A Minimax Optimal Algorithm for Crowdsourcing
Thomas Bonald, Richard Combes
We consider the problem of accurately estimating the reliability of workers based on noisy labels they provide, which is a fundamental question in crowdsourcing. We propose a novel…
stat.ML2016★ 2 cited
A Streaming Algorithm for Crowdsourced Data Classification
Thomas Bonald, Richard Combes
We propose a streaming algorithm for the binary classification of data based on crowdsourcing. The algorithm learns the competence of each labeller by comparing her labels to those…
stat.ML2015
A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks
Emilie Kaufmann, Thomas Bonald, Marc Lelarge
This paper presents a novel spectral algorithm with additive clustering designed to identify overlapping communities in networks. The algorithm is based on geometric properties of…