Generalization behavior of OPTQ and the role of regularization

arXiv:2609.31560 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/ErinGeorge/OPTQ-generalization

Terminology

• Quantization — 33× in this paper · explained in 12 episodes
• Generalization — 30× in this paper · explained in 13 episodes
• Regularization — 25× in this paper · explained in 3 episodes
• Calibration — 20× in this paper · explained in 7 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Quantization-Aware Training — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos

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