arXiv Machine Learning
Sep 1

Prediction-Powered Conditional Inference

arXiv:2603.05575v2 Announce Type: replace-cross Abstract: We study prediction-powered conditional inference in the setting where labeled data are scarce, unlabeled covariates are abundant, and a blac...

By Yang Sui, Jin Zhou, Hua Zhou, Xiaowu Dai
arXiv Machine Learning
Jun 15

Minimum Distance Summaries for Robust Neural Posterior Estimation

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.

By Sherman Khoo, Dennis Prangle, Song Liu, Mark Beaumont