Rong-Tong Tang

Neural Estimation of Summary Statistics for Simulation-Based Inference with Non-Asymptotic Guarantees

This work highlights summary learning as a critical component of SBI and proposes a general framework that jointly learns a neural-network-parameterized summary and an amortized posterior estimator, and introduces a local refinement strategy that adapts the amortized estimator to a specific observation, thereby reducin...