Search Results for author: Kengo Kamatani

Found 2 papers, 1 papers with code

Multilevel Monte Carlo for a class of Partially Observed Processes in Neuroscience

no code implementations10 Oct 2023 Mohamed Maama, Ajay Jasra, Kengo Kamatani

The data are assumed to be observed regularly in time and driven by the SDE model with unknown parameters.

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.

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