Stratification

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2 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-14

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Rank Without an Oracle: Deviation-Aware Interaction-Rank Selection from Offline Multi-Agent Logs
Sep 8, 2026Xiangwu Wang, Chengwei Cao, Hongyuan TangGame-Theoretic Framework Ranking
Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided Stratification
Sep 7, 2026Yimeng Ye, Shuang Chen, Wenxuan Huang +8Multimodal Reasoning Collapse
Geometric and Behavioral Stratification in Transformer Residual Streams
Aug 12, 2026Nelson GudaTransformer Residual Streams Residual Stream
Beyond Random Partitioning: Unsupervised Spatio-Temporal Stratification for Cohort Balancing in Longitudinal Medical Imaging
Jul 29, 2026Qinghui Liu, Jon André Ottesen, Atle Bjørnerud +1Partitioning Stratification
The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality
Jul 9, 2026Masahiro FujitaHuman-Ai Collaboration Collective Sensemaking
Emergent Relational Order in LLM Agent Societies: From Collective Affect to Authority Stratification
Jun 22, 2026Zhiyuan Ji, Xinyu Chen, Ziqi Dai +3Social Dynamics Multi-Agent Simulations
All Routes Lead to Collapse
Jun 21, 2026K. R. BalasubramanianSoftmax Attention Collapse
Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts
Jun 12, 2026Farica Zhuang, Zixuan Wen, Christos Davatzikos +1Survival Predictions Survival Analysis
Simultaneous Latent Budget Trees for Stratified Classification
Jun 11, 2026Simultaneous Latent Budget Trees for Stratified Classification Cristian Buoncompagni, Stefano Pellegrino, Giulia Vannucci +2Decision Trees Stratification
TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification
Jun 5, 2026Sujoy Banik, Sayantan Chakraborty, Boishakhi Das Toma +4Stratification Responses
Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification
Jun 2, 2026Neeti Pokharna, Olivier Jeunen, Yatharth Saraf +1Click-Through Rate Prediction Stratification
Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
May 28, 2026Milad Masroor, Cuong Nguyen, Kevin Wells +1Fairness-Aware Learning Medical Imaging
SmartIterator: Visual Analytics Workflows for Supervising Unsupervised Data Grouping
May 27, 2026Gennady Andrienko, Natalia AndrienkoVisual Analytics Unsupervised
SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning
May 13, 2026Run Zou, Jianhang Ding, Yifan Ding +3Efficient Data Selection Instruction-Tuned Large Language Models
Demographic-Aware Transfer Learning for Sleep Stage Classification in Clinical Polysomnography
May 4, 2026S M Asif Hossain, Shruti KshirsagarSleep Stage Classification Sleep
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
Apr 22, 2026Andrew Klearman, Radu Revutchi, Rohin Garg +3Retrieval-Augmented Generation Stratification
Structured Disagreement in Health-Literacy Annotation: Epistemic Stability, Conceptual Difficulty, and Agreement-Stratified Inference
Apr 21, 2026Olga Kellert, Sriya Kondury, Candice Koo +2Disagreement Stratification
A Unified and Stable Risk Minimization Framework for Weakly Supervised Learning with Theoretical Guarantees
Nov 28, 2025Miao Zhang, Junpeng Li, Changchun Hua +1Supervised Learning Multiclass Classification
Revisiting Performance Claims for Chest X-Ray Models Using Clinical Context
Sep 24, 2025Andrew Wang, Jiashuo Zhang, Michael OberstChest X-Ray Auc-Roc
GlaBoost: A Multimodal Structured Framework for Glaucoma Risk Stratification
Aug 3, 2025Cheng Huang, Zeyu Han, Weizheng Xie +4Glaucoma Retinal Imaging

Sep 8, 2026 · cs.MAJ/K move · Enter open · S save

Rank Without an Oracle: Deviation-Aware Interaction-Rank Selection from Offline Multi-Agent Logs

Xiangwu Wang, Chengwei Cao, Hongyuan Tang

Offline multi-agent payoff models are estimated under a logging distribution but used on distributions induced by learned solutions and unilateral deviations. Standard held-out loss can therefore favor an interaction class that predicts logged play well while distorting strategic incentives. We introduce Selective Interaction-Rank Validation (SIRV) for finite games with known logging distributions. A training split fits nested payoff models and constructs a common union of all candidate deployment and unilateral-replacement distributions; an independent calibration split evaluates every candidate on this same union. SIRV returns the smallest rank whose simultaneous upper worst-target risk is within tolerance of the best upper score, and abstains when a declared target is unsupported or too imprecisely estimated. A common coverage event yields a finite-candidate target-risk bound and a candidate-specific coarse correlated equilibrium (CCE) gap certificate. We also isolate an exact two-point off-support non-identifiability result. In a controlled factorial study with 2,048 independent games per family, empirical-Bernstein bounds reduce the median CCE-gap certificate by 42.5% relative to Hoeffding bounds on common returns, with a 1.36-point reduction in supported return. Under paired rank misspecification and in a separately generated congestion family, the SIRV-EB fallback rule lowers mean true candidate-selection CCE regret relative to ID-Mean, while retaining game-level losses. Across 384 games at

N=3,5,8

, ID-Mean-relative mean CCE-regret effects stay positive while certified return falls sharply under weak coverage. These results separate certifiable model selection from universal strategic improvement.

Game-Theoretic Framework Ranking Model Selection Stratification Online Oracles Log

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