Amortized ratio-estimation importance sampling and localized simulation-based calibration for intractable likelihoods

arXiv:2609.39712 · stat.ME, stat.CO, stat.ML · Submitted 2026-09-30 · Read on arXiv

stat.ME, stat.CO, stat.ML

Submitted: 2026-09-30

Updated: 2026-10-14

Comments: 42 pages, 23 figures

Code: https://github.com/sbi-benchmark/sbibm

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 47× in this paper · explained in 7 episodes
• Simulation-based Inference — 8× in this paper · explained in 2 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Bayesian Inference — 4× in this paper · explained in 5 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Simulation-Based Inference (SBI) — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration Failure — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Stochastic Dynamics — 1× in this paper · explained in 2 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes

Sources

• Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
• Validating Bayesian Inference Algorithms with Simulation-Based Calibration
• A Comprehensive Guide to Simulation-based Inference in Computational Biology
• Sequential Neural Posterior and Likelihood Approximation

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