Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao

Neural Information Processing Systems 

Simulation-based inference (SBI) enables amortized Bayesian inference for simulators with implicit likelihoods. But when we are primarily interested in the quality of predictive simulations, or when the model cannot exactly reproduce the observed data (i.e., is misspecified), targeting the Bayesian posterior may be

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