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08/18/2023
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling
This paper presents a new accelerated proximal Markov chain Monte Carlo ...
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05/15/2023
On the connections between optimization algorithms, Lyapunov functions, and differential equations: theory and insights
We study connections between differential equations and optimization alg...
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01/06/2023
Splitting schemes for second order approximations of piecewise-deterministic Markov processes
Numerical approximations of piecewise-deterministic Markov processes bas...
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06/10/2022
Efficient Bayesian computation for low-photon imaging problems
This paper studies a new and highly efficient Markov chain Monte Carlo (...
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09/24/2021
Approximations of Piecewise Deterministic Markov Processes and their convergence properties
Piecewise deterministic Markov processes (PDMPs) are a class of stochast...
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11/18/2020
