Introduces the first amortized neural posterior estimator conditioned on both data and temperature β for generalized Bayesian inference, matching MCMC performance on standard SBI benchmarks.
Finite variance follows sinceVar [wβ] = Ep(θ,x)[w2 β]−Ep(θ,x)[wβ]2 <E p(θ,x)[w2 β]<∞
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
Introduces the first amortized neural posterior estimator conditioned on both data and temperature β for generalized Bayesian inference, matching MCMC performance on standard SBI benchmarks.