Unverified50% confidenceReleaseExact time
A new study proposes a complementary method called MAS (Model-Agnostic Selection with agent-X importance) for achieving FDR-controlled variable selection without assumptions on the covariate distribution.
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50%
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Long-term
Relevance
10/16/2026
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Related Claims
UnverifiedMAS and Model-X knockoffs are complementary: when the covariate distribution is known or can be estimated accurately, knockoffs may be the more efficient choice; when the distribution is unknown or difficult to model, MAS exhibits a model-agnostic advantage.75% similarUnverified多Agent系统（MAS）在投研场景中通过不同Agent专注于不同维度的分析，比单一大模型直接输出结论具有更强的可解释性和鲁棒性69% similarUnverifiedThe research team proposes an improved preference optimization formulation that explicitly aligns with the characteristics of few-step generation and can directly remove target concepts within the FSD framework.68% similarUnverified子智能体设计源自多智能体系统（MAS）研究范式，将单一大模型调用拆解为多个具有特定系统提示和上下文的专用实例67% similarUnverifiedMAS introduces a 'resplit-per-covariate' strategy, which decouples the dependencies among estimators by independently resampling for each covariate.66% similar
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