Adaptive SMC with local reduced basis surrogates approximates the Gibbs posterior for PDE inverse problems, including derived error bounds and an adaptive surrogate construction strategy.
MCMC methods for functions: modifying old algorithms to make them faster
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Adaptive particle-based approximations of the Gibbs posterior for inverse problems
Adaptive SMC with local reduced basis surrogates approximates the Gibbs posterior for PDE inverse problems, including derived error bounds and an adaptive surrogate construction strategy.