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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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