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
Neural Information Processing Systems
Oct-9-2025, 12:45:16 GMT
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