Missing Data

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6 papers in the last four weeks, down 14% on the four weeks before. 0.1% of all new papers.

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  1. The Effect of Missingness-Pattern Mismatch on Method Selection for Time-Series Classification: A Controlled Empirical Study

    Oct 4, 2026Ruiqi Zhao, Zishun Yuan, Zhentao Wang +3Time-Series ClassificationMissing Data

    The University of Tokyo, Tokyo, Japan · Stony Brook University, SUNY Korea, Incheon, South Korea · Fuyao University of Science and Technology, Fujian, China +3

  2. The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization

    Sep 30, 2026Yaling Shen, Tongtong Wu, Siyuan Yan +1PersonalizationProgress Reward Modeling

    Monash University

  3. TSMD: Temporal-Stream Modality Dropout for Robust Video Highlight Detection

    Sep 30, 2026Bo-Yuan Cheng, Kuan-Yu Chen, Po-Han Huang +2Fine-Grained Video UnderstandingAi-Generated Video Detection

    AI Research Center, Inventec Corporation, Taiwan · Graduate Institute of Communication Engineering, National Taiwan University, Taiwan

  4. Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness

    Sep 23, 2026Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1ImputationFederated Learning

    ARTORG Center for Biomedical Engineering Research University of Bern, Bern, Switzerland · Graduate School for Cellular and Biomedical Sciences University of Bern, Bern, Switzerland

  5. GLR-MM: Graph-Based Global-Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities

    Sep 20, 2026Surbhi Sharma, Nikhil Manali, Devesh MaheshwariIntensive Care Unit Mortality PredictionMissing Modalities

    Houston Methodist, Houston, TX, USA · University of Wisconsin–Madison, Madison, WI, USA · Walmart, USA

  6. Admissable: Training Reinforcement Learning Agents against Adversarial Missingness

    Sep 14, 2026Paul Stahlhofen, Luca Hermes, Tim Kochs +2Adversarial TrainingOffline Reinforcement Learning

    Bielefeld University

  7. Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

    Sep 1, 2026Jinran Wu, You-Gan Wang, Geoffrey J. McLachlanSemi-Supervised LearningMixture Models

    The University of Queensland, Australia

  8. TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment

    Aug 31, 2026Merna Bibars, Bolaji Omofojoye, Allan I. Levey +3Mild Cognitive ImpairmentMultimodal Clinical Data

    Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA · Department of Systems and Biomedical Engineering, Cairo University, Giza, Egypt · Department of Biomedical Informatics, Emory University, Atlanta, GA, USA +2

  9. Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

    Aug 31, 2026Fariborz Setoudehtazang, Geoffrey J. McLachlanMulticlass ClassificationMissing Data

    Dipartimento di Scienze Statistiche, Universit`a di Padova, Padova, Italy · School of Mathematics and Physics, The University of Queensland, Australia

  10. A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity

    Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Missing DataImputation

    Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada · Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario, Ontario, Canada · Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA +1

  11. Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness

    Aug 12, 2026Haochen Zhang, Jiaheng Guo, Yu-Chao Huang +2Time-Series GenerationPhysiological Signals

    UNITES Lab, University of North Carolina at Chapel Hill

  12. GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

    Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Intensive Care UnitMultivariate Time-Series

    Department of Informatics University of Zürich · SCAI Lab, D-HEST ETH Zürich & SPF

  13. Closing the loop in learning with missing data

    Aug 10, 2026Dimitrios Pylorof, Humberto E. GarciaMissing DataLearning Dynamics

    U.S. Department of Energy Idaho National Laboratory

  14. Handling Missing Data in Probabilistic Regression Trees

    Aug 6, 2026Taiane Schaedler Prass, Alisson Silva Neimaier, Guilherme PumiMissing DataImputation

    a Graduate Program in Statistics - Universidade Federal do Rio Grande do Sul.

  15. DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning

    Aug 5, 2026Junbo Zhang, Qianli Zhou, Xinyang Deng +1Large Language Model SafetyLarge Language Model Fine-Tuning

    Northwestern Polytechnical University

  16. GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation

    Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1ImputationMultivariate Time-Series

    College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

  17. Learning Who to Treat When Treatment is Missing

    Jul 15, 2026Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1Heterogeneous Treatment EffectsMissing Data

    Carnegie Mellon University, Pittsburgh, Pennsylvania

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

    Jul 9, 2026Minett Tran, Taehee JeongMissing DataGraph Neural Networks

    San Jose State University

  19. ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methods

    Jul 9, 2026Aitik Dandapat, Lalith Punepalle Raveendrareddy, Mithilesh Kumar Singh +1ImputationMissing Data

    Stony Brook University

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

    Jul 8, 2026Chuyao Zhang, E Li, Taochen Chen +5ImputationMissing Data

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

  21. Missing Data Imputation under Manifold Hypothesis

    Jul 3, 2026Zelong Bi, Amuchechukwu Ibenegbu, Sarat MokaImputationMissing Data

  22. Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction

    Jul 3, 2026Soyeon Park, Charmgil HongMissing DataMultivariate Time Series Forecasting

    Handong Global University Pohang, Republic of Korea

  23. Statistical Properties of kk-means Clustering for Data Missing Completely at Random

    Jul 2, 2026Xin GuanK-MeansClustering

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

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

    Jun 18, 2026Ziheng Wei, Annie Qu, Rui MiaoMissing DataOff-Policy Learning

    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

  25. Informative Missingness to Generate Irregular Clinical Time Series

    Jun 14, 2026Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora +4Missing DataTime-Series Generation

    Aalborg University, Aalborg, Denmark · University of Pavia, Pavia, Italy · Bowling Green State University, Bowling Green, Ohio, USA

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

    Jun 3, 2026Lixing Zhang, Yidong Ouyang, Weifu Li +3ImputationMissing Data

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

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

    Jun 3, 2026Haolu Liu, Xiyue Wang, Xuanting Xie +2Missing DataIncomplete

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

    Jun 2, 2026Jungkyu Kim, Taeyoung Park, Kibok LeeMissing DataScore-Based Diffusion Model

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

  29. FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting

    May 28, 2026Kjersti Engan, Neel Kanwal, Anita Yeconia +4Wearable PhysiologyMissing Data

    University of Stavanger, Stavanger, Norway · Haydom Lutheran Hospital, Haydom, Tanzania · Stavanger University Hospital, Stavanger, Norway

  30. Causal Label Recovery in Payment Networks

    May 28, 2026Gaurav DhamaPayment NetworksDetection Performance

    Mastercard

  31. Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations

    May 26, 2026Madhulatha Mandarapu, Sandeep KunkunuruKnowledge GraphsData Science Agents

    VaidhyaMegha Private Limited, India

  32. Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy

    May 24, 2026Mohamed Boussena, Florence Monville, Jacques Fieschi-Meric +8Survival PredictionsBiomarker

    Inria – Inserm team COMPO, COMPutational pharmacology and clinical Oncology, Centre Inria Sophia Antipolis - M´editerran´ee, Centre de Recherches en Canc´erologie de Marseille, Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Pharmacy faculty, Aix-Marseille University · Veracyte SAS, Marseille, France · Assistance Publique-Hˆopitaux de Marseille (APHM), Marseille, France +4

  33. TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution

    May 22, 2026Zijian Kang, Weiming Zeng, Yueyang Li +4ElectroencephalographyGenerative Super-Resolution

    Lab of Digital Image and Intelligent Computation, Shanghai Maritime University, Shanghai 201306, China · Department of Department of Language Science and Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China · Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China

  34. MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data

    May 21, 2026Amir Mousavi, Mohammad Sadegh Sirjani, Erfan Nourbakhsh +5Eye TrackingCognitive Load

    Department of Computer Science, College of AI, Cyber and Computing, The University of Texas at San Antonio · Department of Neuroscience, Developmental and Regenerative Biology, College of Sciences, The University of Texas at San Antonio · Department of Educational Psychology, College of Education and Human Development, The University of Texas at San Antonio

  35. StruMPL: Multi-task Dense Regression under Disjoint Partial Supervision and MNAR Labels

    May 19, 2026Reza M. Asiyabi, Juan Alberto Molina-Valero, The SEOSAW Partnership +2BiomassDense Prediction

    School of Geosciences, University of Edinburgh, UK · National Centre for Earth Observation (NCEO), UK · Department of Spatial Sciences, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha, Czech Republic

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

    May 19, 2026Ferdinand Genans, Erwan ScornetMissing DataStochastic Gradient Descent

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

  37. Can Large Language Models Revolutionize Survey Research? Experiments with Disaster Preparedness Responses

    May 19, 2026Yan Wang, Ziyi Guo, Christopher McCartySurveyLarge Language Model Evaluation

    Dept. of Urban and Regional Planning & Florida Institute for Built Environment Resilience, University of Florida, P.O. Box 115706, Gainesville, FL 32611. · Dept. of Urban and Regional Planning & Florida Institute for Built Environment Resilience, University of Florida, 1480 Inner Rd., Gainesville, FL 32611. · College of Liberal Arts and Sciences, Bureau of Economic and Business Research, University of Florida, Suite 150, 720 SW 2nd Ave., Gainesville, FL 32611.

  38. Quantifying Potential Observation Missingness in Inverse Reinforcement Learning

    May 12, 2026Leo Benac, Abhishek Sharma, Alihan Huyuk +1Missing DataOffline Reinforcement Learning

    School of Engineering and Applied Sciences Harvard University

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

    May 12, 2026Joshua Wendland, Markel Zubia, Roman Andriushchenko +6Partially Observable Markov Decision ProcessMissing Data

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

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

    May 12, 2026Amanda S BarnardOversamplingMissing Data

    School of Computing Australian National University Acton, ACT 2601

  41. Future Validity is the Missing Statistic: From Impossibility to ΦΦ-Estimation for Grammar-Faithful Speculative Decoding

    May 8, 2026Wenhua Nie, Zijie Meng, Kun Zou +5Speculative DecodingContext-Free Grammars

    National Taiwan University

  42. Order-Agnostic Autoregressive Modelling with Missing Data

    May 7, 2026Ignacio Peis, Pablo M. Olmos, Jes FrellsenMissing DataImputation

    Technical University of Denmark & Pioneer Centre for AI · Universidad Carlos III de Madrid

  43. AirQualityBench: A Realistic Evaluation Benchmark for Global Air Quality Forecasting

    May 7, 2026Xing Xu, Xu Wang, Yudong Zhang +3Air PollutionEvaluation Benchmarks

    University of Science and Technology of China (USTC), Hefei, Anhui, China · 2Suzhou Institute for Advanced Research, USTC, Suzhou, Jiangsu, China · 3The Hong Kong Polytechnic University, Hong Kong, China

  44. Predicting missing values: A good idea?

    May 5, 2026Stef van BuurenImputationMissing Data

    TNO Netherlands Organization for Applied Scientific Research, Leiden · Dept. of Methodology & Statistics, University of Utrecht

  45. Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling

    May 3, 2026Qiao LiuImputationMissing Data

    Department of Biostatistics Yale University

  46. EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness

    May 1, 2026Yueru Sun, Yimeng Zhang, Haoyu Gu +5Emotion RecognitionMultimodal Large Language Models

    School of Future Technology, South China University of Technology, Guangzhou, China

  47. End-to-End Learning for Partially-Observed Time Series with PyPOTS

    Apr 27, 2026Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1Missing DataTime Series

    PyPOTS Research · PyPOTS Research & Univ. of Oxford · Squirrel Ai Learning

  48. Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning

    Apr 25, 2026Wugeng Zheng, Ziwen Kan, Katie Wang +2Missing ModalitiesImputation

    University of Central Florida · Independent Researcher

  49. Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

    Apr 23, 2026Zihan Liang, Ziwen Pan, Ruoxuan XiongMultimodal Clinical DataMultimodal Learning

    Emory University, Atlanta, USA

  50. Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring

    Apr 16, 2026Shahar Cohen, David M. Steinberg, Yael Radzyner +1Missing DataClassifier

    Department of Statistics and Operations Research, School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel · Israel NDC, Soreq Nuclear Research Center, Yavne, Israel

  51. On the Inherent Privacy Amplification of Missing Data

    Feb 2, 2026Simon Roburin, Rafa{ë}l Pinot, Erwan ScornetMissing DataPrivacy

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

  52. Geometric Stability: The Missing Axis of Representations

    Jan 14, 2026Prashant C. RajuRepresentational Similarity AnalysisGeometric Machine Learning

  53. Modeling Information Blackouts in Missing Not-At-Random Time Series Data

    Jan 4, 2026Aman Sunesh, Allan Ma, Siddarth NilolAccurate Traffic ForecastingMissing Data

    New York University

  54. Geometry as a Missing Axis of Representation Quality: The Variational Geometric Information Bottleneck under Data Scarcity

    Nov 4, 2025Ronald KatendeDiscriminative Congruence TransformInformation Bottleneck

    Department of Mathematics, Kabale University, Katuna Road, Kikungiri Hill, Kabale, 317, Uganda

  55. Linear Regression under Missing or Corrupted Coordinates

    Sep 23, 2025Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane +2Corrupted InputsMissing Data

    University of Wisconsin-Madison · University of California, San Diego · University of California, Davis

  56. TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification

    Aug 24, 2025YongKyung Oh, Dong-Young Lim, Sungil Kim +1Time-Series ClassificationMissing Data

    University of California, Los Angeles, Los Angeles, CA, USA · Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea

  57. How Reliable are Fairness Audits with Unreliable Data?

    Jun 28, 2025Yash Vardhan TomarFairness AuditsFalse-Negative Rate

    Purdue University

  58. Active Exploration via Autoregressive Generation of Missing Data

    May 29, 2024Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo +1Stochastic ExplorationLearning-Augmented Algorithms

    Department of Statistics Columbia University New York, NY 10025, USA · Decision, Risk, and Operations Division Columbia Business School New York, NY 10025, USA · Department of Mathematics Imperial College London London SW7 2AZ, United Kingdom