Papers

• Stop using Media Bias/Fact Check in research (2026)
  Alejandro Javier Ruiz Iglesias et al.
  5.08
• Context Distribution Restoration for Social Surveys: A Recoverability-Adaptive Transport Framework (2026)
  Lei Zhao et al.
  4.39
• Program Evaluation with Remotely Sensed Outcomes (2026)
  Ashesh Rambachan et al.
  1.94
• TEA-Time: Transporting Effects Across Time (2026)
  Harsh Parikh et al.
  1.94
• Quality-Sensitive Matrix Factorization for Community Notes: Towards Sample Efficiency and Manipulation Resistance (2026)
  Mohak Goyal et al.
  1.94
• Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions (2026)
  Wenhao Mu et al.
  1.94
• Contextual Scalarisation Thompson Sampling for multi-objective decisions in public media (2026)
  Th\'eo Ma\"etz et al.
  1.89
• Meta-Learning for Resampling Recommendation Systems (2017)
  Smolyakov Dmitry et al.
  —
• Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback (2020)
  Zifeng Wang and Xi Chen and Rui Wen and Shao-Lun Huang and Ercan E. Kuruoglu and Yefeng Zheng
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• A Survey on Causal Inference for Recommendation (2023)
  Huishi Luo et al.
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• Two-stage Risk Control with Application to Ranked Retrieval (2024)
  Yunpeng Xu et al.
  —