8 citations · 10 across the 7 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021
Probability-Generating Function Kernels for Spherical Data
Theodore Papamarkou, Alexey Lindo
Probability-generating function (PGF) kernels are introduced, which constitute a class of kernels supported on the unit hypersphere, for the purposes of spherical data analysis. PG…
stat.ML2016
Geometric adaptive Monte Carlo in random environment
Theodore Papamarkou, Alexey Lindo, Eric B. Ford
Manifold Markov chain Monte Carlo algorithms have been introduced to sample more effectively from challenging target densities exhibiting multiple modes or strong correlations. Suc…