6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 6 cited
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
Mahmoud Albardan, John Klein, Olivier Colot
We investigate a problem in which each member of a group of learners is trained separately to solve the same classification task. Each learner has access to a training dataset (pos…
stat.OT2018★ 1 cited
Complementary Lipschitz continuity results for the distribution of intersections or unions of independent random sets in finite discrete spaces
John Klein
We prove that intersections and unions of independent random sets in finite spaces achieve a form of Lipschitz continuity. More precisely, given the distribution of a random set $Ξ…
stat.ML2018
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
John Klein, Mahmoud Albardan, Benjamin Guedj +1
We examine a network of learners which address the same classification task but must learn from different data sets. The learners cannot share data but instead share their models.…