Diffusion-Based Hypothesis Testing and Change-Point Detection

arXiv:2506.16089 · stat.ML, cs.LG · Submitted 2025-06-19 · Read on arXiv

stat.ML, cs.LG

Submitted: 2025-06-19

Updated: 2026-10-22

Terminology

• Score Function — 12× in this paper · explained in 4 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Scale-Invariance — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Clarity — 1× in this paper · explained in 3 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Denoising Autoencoder — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Receiver Operating Characteristic — 1× in this paper

Sources

• Sliced Score Matching: A Scalable Approach to Density and Score Estimation
• Score-Based Metropolis-Hastings Algorithms
• Minimum Stein Discrepancy Estimators
• Robust and Scalable Bayesian Online Changepoint Detection
• Adam: A Method for Stochastic Optimization

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