Unverified50% confidenceFactExact time
When ρ has covariance Σ, the prior Gibbs distribution corresponding to the conjugate decomposition has covariance Σ^(1/3), causing the prior to also be dispersed when ρ is dispersed, resulting in better alignment between the two and preventing the Lipschitz constant from exploding.
1
Sources
50%
Confidence
Long-term
Relevance
9/21/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen ε ≈ 1, the gradient second-moment term in the denominator is diluted, adaptive scaling has almost no effect, and the optimizer behaves close to pure SGD.71% similarUnverifiedThe convolution theorem of the Fourier transform states that convolution in the time domain is equivalent to multiplication in the frequency domain.64% similarUnverifiedThe top Lyapunov exponent measures the long-term average exponential growth rate of errors in a linear stochastic iterative system, where a positive value implies divergence at an exponential rate and a negative value implies stable contraction.64% similarUnverified正交变换保持向量的L2范数和向量间夹角不变，正交矩阵的条件数恒为163% similarUnverifiedWhen the factors multiplied by the chain rule are continuously less than 1, gradients decay exponentially (vanishing); when they are continuously greater than 1, gradients grow exponentially (exploding).63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/937742API
curl https://kongchang.com/api/v1/knowledge/claims/937742MCP
get_claim(id=937742)