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 2017 · stat.MLShow all
2 papers · 2 filters
stat.ML2017★ 3 cited
Efficient and principled score estimation with Nyström kernel exponential families
Danica J. Sutherland, Heiko Strathmann, Michael Arbel +1
We propose a fast method with statistical guarantees for learning an exponential family density model where the natural parameter is in a reproducing kernel Hilbert space, and may…
stat.ML2017★ 42 cited
A Linear-Time Kernel Goodness-of-Fit Test
Wittawat Jitkrittum, Wenkai Xu, Zoltan Szabo +2
We propose a novel adaptive test of goodness-of-fit, with computational cost linear in the number of samples. We learn the test features that best indicate the differences between…