arXiv Machine Learning June 15, 2026 By Sherman Khoo, Dennis Prangle, Song Liu, Mark Beaumont

Minimum Distance Summaries for Robust Neural Posterior Estimation

Read the original on arXiv Machine Learning →

arXiv:2602. 09161v2 Announce Type: replace-cross Abstract: Simulation-based inference (SBI) enables amortized Bayesian inference by first training a neural posterior estimator (NPE) on prior-simulator pairs, typically through low-dimensional summary statistics, which can then be cheaply reused for fast inference by querying it on new test observations.

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