23 citations · 118 across the 21 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2014★ 2 cited
Reliable ABC model choice via random forests
Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup +3
Approximate Bayesian computation (ABC) methods provide an elaborate approach to Bayesian inference on complex models, including model choice. Both theoretical arguments and simulat…
stat.ML2010★ 6 cited
Operator norm convergence of spectral clustering on level sets
Bruno Pelletier, Pierre Pudlo
Following Hartigan, a cluster is defined as a connected component of the t-level set of the underlying density, i.e., the set of points for which the density is greater than t. A c…