Unverified50% confidenceFactExact time
This approximation rate bound holds uniformly over the unit ball of the reproducing kernel Hilbert space (RKHS) with probability at least 1-δ.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
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Related Claims
UnverifiedMaximum Mean Discrepancy (MMD) maps distributions to a Reproducing Kernel Hilbert Space (RKHS) via a kernel function, and quantifies the difference between distributions using the distance between their mean embeddings.66% similarUnverifiedInference speed (tokens/second) ≈ memory bandwidth ÷ model size57% similarUnverifiedFor a 32-layer, 4096-dimensional model, the KV Cache for processing 2048 tokens occupies approximately 1 GB of VRAM54% similarUnverifiedIn IEEE binary16 isolation tests, the polynomial path yields a 1.19–2.19× speedup in L2-cache-resident scenarios and a 1.00–1.70× speedup in HBM-resident scenarios.54% similarUnverifiedTaking the LLaMA-3 70B model as an example, with 80 layers, head_dim=128, and BF16 precision, each token occupies approximately 80KB of KV cache.53% similar
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