Search Results for author: Sebastiano Grazzi

Found 2 papers, 2 papers with code

The Boomerang Sampler

2 code implementations ICML 2020 Joris Bierkens, Sebastiano Grazzi, Kengo Kamatani, Gareth Roberts

We demonstrate theoretically and empirically that we can also construct a control-variate subsampling boomerang sampler which is also exact, and which possesses remarkable scaling properties in the large data limit.

A piecewise deterministic Monte Carlo method for diffusion bridges

3 code implementations16 Jan 2020 Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer

We introduce the use of the Zig-Zag sampler to the problem of sampling conditional diffusion processes (diffusion bridges).

Statistics Theory Probability Methodology Statistics Theory

Cannot find the paper you are looking for? You can Submit a new open access paper.