Asadbek Xayitov

When the Proxy Inverts: Distributional Metrics Rank Post-Training Quantization Methods Backwards

Standard post-training quantization (PTQ) evaluation often relies on distributional proxy metrics such as KL divergence, perplexity (PPL), and tensor-level reconstruction errors (e.g., Frobenius error). This work systematically investigates the breakdown between these proxy metri...