Singularities of Non-negative Matrix Factorization and their application to Bayesian inference

arXiv:2609.34043 · stat.ML, cs.LG, math.ST, stat.TH · Submitted 2026-09-28 · Read on arXiv

stat.ML, cs.LG, math.ST, stat.TH

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Generalization — 17× in this paper · explained in 13 episodes
• Bayesian Inference — 13× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Fisher Information — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes

Related papers

• Behavior of prediction performance metrics with rare events
• Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
• A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
• One Permutation Is All You Need: Fast, Deterministic Feature Importance and Model Stress-Testing
• Online Conformal Prediction for Non-Exchangeable Panel Data
• Deep Time-Series Forecasting in 10 Years: A Survey