Keeping Score: Adaptive, Tuning-Free Loss Weighting for Score-Augmented Neural Ratio Estimation

arXiv:2605.12118 · stat.ML, cs.LG · Submitted 2026-05-12 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-05-12

Updated: 2026-10-08

Terminology

• Score Function — 6× in this paper · explained in 4 episodes
• Sample Efficiency — 5× in this paper · explained in 4 episodes
• Simulation-based Inference — 5× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Adaptive Weighting — 3× in this paper · explained in 1 episode
• Loss Function — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Simulation-Based Inference (SBI) — 2× in this paper · explained in 3 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptive Algorithm — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hypernetwork — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Adam: A Method for Stochastic Optimization

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