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#machine learning Review Sep 2026

Learning Risk Scores Robust to Unobserved Confounders

We consider the problem of learning risk scores to prioritize individuals for scarce resources or interventions, from historical observational data affected by unobserved confounding. Decisions about who receives scarce resources are often guided by risk scores based on recorded characteristics, such as responses to a...

Ryan Edmonds, Ying-Xiao Ye, S. Aghaei et al. · 0 citations
Preprint Aug 2026

Difficulty-Aware Semantic-ID Optimization for Generative Recommendation

Difficulty-Aware Semantic-ID Optimization (DASO), a tree-aware post-training method that addresses failure mode as an online rollout-allocation problem and improves over MiniOneRec-style GRPO on 11 of 12 metrics and achieves the best result on 9 of 12 metrics.

Xin Yu, Stephen Li, S. Aghaei et al. · 1 citation

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