Discontinuous Hamiltonian Monte Carlo for Probabilistic Programs

By Bradley Gram-Hansen, Yuanshuo Zhou, Tobias Kohn, Hongseok Yang, Frank D. Wood. 2018

3 citations recorded by the source corpus.

Subfields: Probabilistic & Bayesian Methods

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Probabilistic & Bayesian Methods

1. Frank D. Wood
2. Hongseok Yang
3. Jan-Willem van de Meent
4. Brooks Paige
5. Yura N. Perov
6. David Tolpin
7. Zoubin Ghahramani
8. Tom Rainforth

Citations in the corpus

• An Introduction to Probabilistic Programming (2018, background): “3 of this chapter or another suitably restricted FOPPL-like language (Gram-Hansen et al., 2018; Stan Development Team, 2014) is the computation of the gradient”