Unverified50% confidenceFactExact time
As the sample size increases, under the constructed priors both the penalty quantity and the actual risk quantity tend to vanish, but their ratio can diverge exponentially.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAblation experiments show that increasing example usage does not yield consistent gains, but instead presents a trade-off relationship between dynamics and reward.75% similarVerifiedThe double descent phenomenon indicates that when the number of model parameters far exceeds the amount of data, the test error may actually decrease again.74% similarUnverifiedA learner estimating the loss distribution from limited data inevitably has bias, causing the estimate of CVaR to deviate from the true value, thereby weakening or even reversing the actual effect of risk aversion.72% similarVerified若用含测试集的全量数据计算均值和标准差，会导致预处理泄漏，使评估指标虚高，无法真实反映模型泛化能力72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1032928API
curl https://kongchang.com/api/v1/knowledge/claims/1032928MCP
get_claim(id=1032928)