Learning-Enabled Estimation: Tight Characterizations under Sample Selection Biases

arXiv:2609.38608 · cs.LG, stat.ML · Submitted 2026-09-29 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Selection Bias — 38× in this paper · explained in 4 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Sample Complexity — 4× in this paper · explained in 15 episodes
• Score Function — 4× in this paper · explained in 4 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Admissible Tuple — 2× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Annual Symposium on Foundations of Computer Science — 1× in this paper
• Causal Inference — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Heteroscedasticity — 1× in this paper · explained in 2 episodes
• VC Dimension — 1× in this paper · explained in 2 episodes

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