Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty

arXiv:2608.05454 · cs.LG, stat.ML · Submitted 2026-08-05 · Read on arXiv

Zhen Zhang, Amr Alanwar

cs.LG, stat.ML

Submitted: 2026-08-05

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

Terminology

• Generator — 53× in this paper · explained in 2 episodes
• Calibration — 24× in this paper · explained in 9 episodes
• AUC — 19× in this paper · explained in 2 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Planner — 17× in this paper · explained in 3 episodes
• Ablation — 15× in this paper · explained in 1 episode
• Transformer — 12× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Consistency — 9× in this paper · explained in 3 episodes
• Robustness — 9× in this paper · explained in 6 episodes
• Degeneracy — 6× in this paper · explained in 4 episodes
• Distribution Shift — 6× in this paper · explained in 12 episodes
• Fisher Information — 5× in this paper · explained in 4 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Conformal Prediction — 4× in this paper · explained in 11 episodes
• Distribution Shifts — 4× in this paper · explained in 2 episodes
• Hyperparameters — 4× in this paper · explained in 2 episodes
• Structural Properties — 4× in this paper · explained in 2 episodes
• Active Learning — 3× in this paper · explained in 6 episodes
• Diffusion Model — 3× in this paper · explained in 10 episodes
• Exchangeability — 3× in this paper · explained in 2 episodes
• Parameterization — 3× in this paper · explained in 2 episodes
• Sample Efficiency — 3× in this paper · explained in 7 episodes
• Single-Pass Inference — 3× in this paper · explained in 2 episodes
• Absorb — 2× in this paper · explained in 1 episode
• Empirical Coverage — 2× in this paper · explained in 2 episodes
• Inductive Bias — 2× in this paper · explained in 3 episodes
• Mode Collapse — 2× in this paper · explained in 2 episodes
• Training Objective — 2× in this paper · explained in 3 episodes
• Transformer Encoder — 2× in this paper · explained in 2 episodes
• Uncertainty Decomposition — 2× in this paper · explained in 2 episodes
• Weight Decay — 2× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 6 episodes
• Coherence — 1× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cross-Dataset Transfer — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Division of Labor — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Localization — 1× in this paper · explained in 2 episodes
• Monotonicity — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Reachability Analysis — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Spectral Signature — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 5 episodes

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