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stat.ML2023
Simulation-based Inference with the Generalized Kullback-Leibler Divergence
Benjamin Kurt Miller, Marco Federici, Christoph Weniger +1
In Simulation-based Inference, the goal is to solve the inverse problem when the likelihood is only known implicitly. Neural Posterior Estimation commonly fits a normalized density…
stat.ML2023★ 1 cited
Balancing Simulation-based Inference for Conservative Posteriors
Arnaud Delaunoy, Benjamin Kurt Miller, Patrick Forré +2
Conservative inference is a major concern in simulation-based inference. It has been shown that commonly used algorithms can produce overconfident posterior approximations. Balanci…