36 citations · 130 across the 21 of their papers we have counts for
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stat.CO2019★ 20 cited
Stein Point Markov Chain Monte Carlo
Wilson Ye Chen, Alessandro Barp, François-Xavier Briol +4
An important task in machine learning and statistics is the approximation of a probability measure by an empirical measure supported on a discrete point set. Stein Points are a cla…
stat.CO2019★ 5 cited
Hamiltonian Monte Carlo on Symmetric and Homogeneous Spaces via Symplectic Reduction
Alessandro Barp, Anthony Kennedy, Mark Girolami
The Hamiltonian Monte Carlo method generates samples by introducing a mechanical system that explores the target density. For distributions on manifolds it is not always simple to…