Ruben Seyer

Doctoral Student at Applied Mathematics and Statistics
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Showing 1 publications

2023

Differentiating Metropolis-Hastings to Optimize Intractable Densities

Gaurav Arya, Ruben Seyer, Frank Schäfer et al
Other conference contribution

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Showing 2 research projects

2024–2025

Fast Bayesian Inference with Piecewise Deterministic Markov Processes

Ruben Seyer Applied Mathematics and Statistics
Moritz Schauer Applied Mathematics and Statistics
National Academic Infrastructure for Super­computing in Sweden

2023–

Inference in the face of intractability: Bayesian applications of continuous-time Markov processes

Ruben Seyer Applied Mathematics and Statistics
Moritz Schauer Applied Mathematics and Statistics
Aila Särkkä Applied Mathematics and Statistics
University of Gothenburg

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