An Agnostic Sample Compression Scheme for Squared Loss of Near-Linear Size in the Fat-Shattering Dimension

arXiv:2609.29696 · cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Quantization — 5× in this paper · explained in 12 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes

Sources

• Sample Compression for Real-Valued Learners
• Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale
• Adversarially Robust PAC Learnability of Real-Valued Functions
• Agnostic Sample Compression Schemes for Regression
• Sample Compression Scheme Reductions
• On statistical learning via the lens of compression

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