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#covariate-shift News & Analysis

2 articles tagged with #covariate-shift. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Mar 47/103
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Know When to Abstain: Optimal Selective Classification with Likelihood Ratios

Researchers developed new selective classification methods using likelihood ratio tests based on the Neyman-Pearson lemma, allowing AI models to abstain from uncertain predictions. The approach shows superior performance across vision and language tasks, particularly under covariate shift scenarios where test data differs from training data.

AINeutralarXiv – CS AI · Jun 86/10
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Off-Policy Evaluation with Strategic Agents via Local Disclosure

Researchers propose a novel off-policy evaluation method that addresses strategic behavior by agents who modify their characteristics in response to policies. By leveraging post-hoc explanations to reveal pre-strategic information, the approach mitigates covariate shifts and enables more accurate policy assessment in one-shot settings with incomplete knowledge of agent responses.

$MKR