Paper-Conference

Conservative neural posterior estimation via distributionally robust training
Simulation-based inference with neural posterior estimation (NPE) often yields overconfident and unreliable posteriors under limited …
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Constrained Bayesian Experimental Design via Online Planning
Bayesian experimental design (BED) is a principled framework for data-efficient design of sequential experiments. However, existing BED …
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Multilevel neural simulation-based inference
Neural simulation-based inference (SBI) is a popular set of methods for Bayesian inference when models are only available in the form …
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Cost-aware simulation-based inference
Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. …
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