101 citations · 214 across the 17 of their papers we have counts for
3 papers · 1 filter
Large-Scale Kernel Methods for Independence Testing
Qinyi Zhang, Sarah Filippi, Arthur Gretton +1
Representations of probability measures in reproducing kernel Hilbert spaces provide a flexible framework for fully nonparametric hypothesis tests of independence, which can captur…
Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures
Sarah Filippi, Chris C. Holmes, Luis E. Nieto-Barajas
In this article we propose novel Bayesian nonparametric methods using Dirichlet Process Mixture (DPM) models for detecting pairwise dependence between random variables while accoun…
Bayesian Learning of Kernel Embeddings
Seth Flaxman, Dino Sejdinovic, John P. Cunningham +1
Kernel methods are one of the mainstays of machine learning, but the problem of kernel learning remains challenging, with only a few heuristics and very little theory. This is of p…