Learning with Missing Data

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12 papers in the last four weeks, up 33% on the four weeks before. 0.1% of all new papers.

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  1. FILLER: Feature Imputation via Latent Location Exploration and Retrieval

    Jul 25, 2026Santu Mondal, Chayan Maitra, Rajat K. DeIncomplete Data ImputationLearning with Missing Data

    Machine Intelligence Unit Indian Statistical Institute 203 Barrackpore Trunk Road Kolkata 700108

  2. MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting

    Jul 24, 2026Mingyi Ma, Qingxiong TanIrregular Time-Series ModelingMultivariate Time Series Forecasting

    Academy of Advanced Interdisciplinary Studies Wuhan University · Institute for Mathematics & Artificial Intelligence Wuhan University

  3. Incomplete Observations Boost Evolutionary Performance in Ocean Modeling

    Jul 21, 2026Yangyang Kong, Yutong Jiang, Yanhai Gan +3Learning with Missing DataData Assimilation

    State Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, China · School of Computer Science and Technology, Ocean University of China, Qingdao, China

  4. Learning Who to Treat When Treatment is Missing

    Jul 15, 2026Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1Causal Effect EstimationConditional Average Treatment Effect Estimation

    Carnegie Mellon University, Pittsburgh, Pennsylvania

  5. Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

    Jul 13, 2026Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4Missing-Modality LearningLearning with Missing Data

    Platform of Bioinformatics, Lausanne University Hospital. · Faculty of Biology and Medicine, University of Lausanne. · 3Leenaards Memory Centre, Lausanne University Hospital. +1

  6. A Personalized Computational Framework for Assessing the Sufficiency of Partially Observed Data in Healthcare AI models

    Jul 10, 2026Qingchu Jin, Felistas Mazhude, Jamie B. Rabb +3Learning with Missing DataClinical Outcome Prediction

    Roux Institute, Northeastern University, ME USA · MaineHealth Institute for Research, ME USA · MaineHealth, ME USA +3

  7. Beyond Metadata: CAPRA for Hidden Subgroup Analysis under Missing Metadata in Medical Imaging

    Jul 10, 2026Yawen Li, Yan Li, Zhe Xue +3Medical Image AnalysisLearning with Missing Data

    Beijing University of Posts and Telecommunications Beijing, China

  8. Pattern-Aware Graph Neural Networks for Handling Missing Data

    Jul 9, 2026Minett Tran, Taehee JeongGraph Neural NetworksLearning with Missing Data

    San Jose State University

  9. General Incomplete Multimodal Learning via Dynamic Quality Perception

    Jul 8, 2026Xiangyu Meng, Shicai WeiMissing-Modality LearningMultimodal Robustness

    University of Electronic Science and Technology of China

  10. Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery

    Jul 8, 2026Chuyao Zhang, E Li, Taochen Chen +5Incomplete Data ImputationLearning with Missing Data

    Guangdong University of Technology, Guangzhou, China · Hong Kong Baptist University, Hong Kong, China

  11. SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data

    Jul 4, 2026Muhammet Sami Yavuz, Ayhan Can Erdur, Sabri Mustafa Kahya +2Cancer GenomicsCancer Survival Prediction

    AI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany · Munich Center for Machine Learning (MCML) · Department of Radiation Oncology, TUM University Hospital +4

  12. Missing Data Imputation under Manifold Hypothesis

    Jul 3, 2026Zelong Bi, Amuchechukwu Ibenegbu, Sarat MokaIncomplete Data ImputationLearning with Missing Data

  13. MNAR-kk-means: A kk-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probability

    Jun 30, 2026Xin GuanClusteringLearning with Missing Data

    Graduate School of Information Sciences Tohoku University Sendai, Miyagi 980-8579, Japan

  14. Residual-Guided Expert Specialization for Incomplete Multimodal Learning

    Jun 29, 2026Seunghun Baek, Jihwan Park, Jaeyoon Sim +3Missing-Modality LearningMultimodal Robustness

    Pohang University of Science and Technology (POSTECH), South Korea

  15. Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random

    Jun 18, 2026Ziheng Wei, Annie Qu, Rui MiaoReinforcement LearningOff-Policy Evaluation

    Department of Statistics, University of Michigan at Ann Arbor · Department of Statistics and Applied Probability, University of California at Santa Barbara · Department of Mathematical Sciences, University of Texas at Dallas

  16. Unsupervised Learning for Missing Modalities in Multimodal Learning

    Jun 14, 2026Hassan Ismkhan, Hamid BouchahciaMissing-Modality LearningUnsupervised Learning

    Bournemouth University Bournemouth, UK

  17. In-Context Learning for the Imputation of Public Opinion Data with Large Language Models

    Jun 8, 2026Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1Incomplete Data ImputationLearning with Missing Data

    LMU Munich · Munich Center for Machine Learning · University of Mannheim +2

  18. PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

    Jun 4, 2026Ziwen Kan, Wugeng Zheng, Tianlong Chen +1Missing-Modality LearningFlow Matching

    Department of Computer Science, University of Central Florida · Department of Computer Science, University of North Carolina at Chapel Hill

  19. TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness

    Jun 3, 2026Yuyu Chen, Taehyo Kim, Hai Shu +1Incomplete Data ImputationLearning with Missing Data

    Department of Biostatistics NYU School of Global Public Health

  20. Learning What Not to Impute: An Uncertainty-Aware Diffusion Framework for Meaningful Missingness

    Jun 3, 2026Lixing Zhang, Yidong Ouyang, Weifu Li +3Incomplete Data ImputationLearning with Missing Data

    University of Minnesota · University of California, Los Angeles · Carnegie Mellon University

  21. Beyond Missing Rates: Rethinking Incomplete Multi-View Clustering with Protocol Divergence

    Jun 3, 2026Haolu Liu, Xiyue Wang, Xuanting Xie +2Missing-Modality LearningLearning with Missing Data

  22. AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking

    Jun 2, 2026Jungkyu Kim, Taeyoung Park, Kibok LeeLearning with Missing DataTabular Diffusion Models

    Department of Statistics and Data Science, Yonsei University, South Korea.

  23. Latent Diffusion for Missing Data

    May 27, 2026Alberte Heering Estad, Ignacio Peis, Jes FrellsenIncomplete Data ImputationLatent Diffusion Models

    Technical University of Denmark · Pioneer Centre for Artificial Intelligence

  24. Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random

    May 25, 2026Gyuwon Sim, Sumin Lee, Heesun Bae +5Time Series ImputationIncomplete Data Imputation

    KAIST · Seoul National University

  25. Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data

    May 19, 2026Ferdinand Genans, Erwan ScornetLearning with Missing DataStochastic Gradient Descent

    SU, LPSM · Sorbonne Université and Université Paris Cité, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, F-75005 Paris, France

  26. Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement

    May 17, 2026Keshu Wu, Sixu Li, Zihao Li +3Graph Structure LearningIncomplete Data Imputation

    Texas A&M University · University of Wisconsin-Madison

  27. PRA-PoE: Robust Multimodal Alzheimer's Diagnosis with Arbitrary Missing Modalities

    May 13, 2026Guangqian Yang, Ye Du, Wenlong Hou +2Missing-Modality LearningAlzheimer's Disease

    Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Technology Management for Innovation, The University of Tokyo,2026 Japan · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China

  28. Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs

    May 12, 2026Joshua Wendland, Markel Zubia, Roman Andriushchenko +6Markov ModelsLearning with Missing Data

    1Ruhr University Bochum · 2Brno University of Technology · 3Radboud University Nijmegen +2

  29. OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness

    May 12, 2026Amanda S BarnardClass-Imbalanced LearningSynthetic Data Augmentation

    School of Computing Australian National University Acton, ACT 2601

  30. GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges

    May 8, 2026Jingjing Zhou, Shiyu Huang, Qing Qing +7Graph Neural NetworksGraph Representation Learning

    Zhejiang Gongshang University · Jilin University · Adelaide University +2