Density Ratio Estimation with Stein Displacement Fields

arXiv:2610.12437 · stat.ML, cs.LG · Submitted 2026-10-08 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/plotly/datasets

Terminology

• Simulation-based Inference — 11× in this paper · explained in 2 episodes
• Gradient Flow — 10× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 8× in this paper
• Normalizing Flow — 8× in this paper · explained in 3 episodes
• Adam — 7× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Distribution Shift — 6× in this paper · explained in 6 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Normalizing Flows — 6× in this paper · explained in 4 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Contrastive Learning — 5× in this paper · explained in 5 episodes
• International Conference on Learning Representations — 5× in this paper
• Bayesian Inference — 3× in this paper · explained in 5 episodes
• Core — 3× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Covariate Shift — 2× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Uncertainty in Artificial Intelligence — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Non-Gaussianity — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• Accelerating Langevin Sampling with Birth-death
• Stein transport for Bayesian inference

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