Unverified50% confidenceFactExact time
In this error bound, the exponent governing the convergence rate is determined by the intrinsic dimension of the data (the Wasserstein-p dimension), rather than the ambient dimension.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedExisting convergence rate analyses typically depend on the ambient dimension, causing theoretically predicted convergence speeds to nearly break down in high dimensions, i.e., the curse of dimensionality.75% similarUnverifiedThe Monte Carlo method has dimension-independence, with its error governed only by sample size and unaffected by dimensionality, whereas the computational cost of deterministic methods grows exponentially with dimensionality.70% similarUnverifiedThe level of probe accuracy reflects the degree of linear separability of the information, not whether the model intentionally represents the concept.68% similarUnverified无梯度方法样本效率低,在高维参数空间中缺乏梯度指引意味着需要海量函数评估才能收敛67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/976006API
curl https://kongchang.com/api/v1/knowledge/claims/976006MCP
get_claim(id=976006)