538 citations
- University College LondonGB83 papers
- University of CambridgeGB12 papers
- University of OxfordGB12 papers
- Institut national de recherche en sciences et technologies du numériqueFR8 papers
- Max Planck Institute for Intelligent SystemsDE7 papers
- University of LondonGB7 papers
- Gatsby Charitable FoundationGB6 papers
- The Institute of Statistical MathematicsJP6 papers
- University of BristolGB6 papers
- Google DeepMind (United Kingdom)GB4 papers
- Princeton UniversityUS4 papers
- University of California, BerkeleyUS4 papers
Showing 2016 · stat.MLShow all
3 papers · 2 filters
stat.ML2016★ 16 cited
An Adaptive Test of Independence with Analytic Kernel Embeddings
Wittawat Jitkrittum, Zoltan Szabo, Arthur Gretton
A new computationally efficient dependence measure, and an adaptive statistical test of independence, are proposed. The dependence measure is the difference between analytic embedd…
stat.ML2016★ 170 cited
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen, Hiroshi Morioka
Nonlinear independent component analysis (ICA) provides an appealing framework for unsupervised feature learning, but the models proposed so far are not identifiable. Here, we firs…
stat.ML2016★ 4 cited
A Kernel Test for Three-Variable Interactions with Random Processes
Paul K. Rubenstein, Kacper P. Chwialkowski, Arthur Gretton
We apply a wild bootstrap method to the Lancaster three-variable interaction measure in order to detect factorisation of the joint distribution on three variables forming a station…