Learning with Missing Data

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 68

All topics
CardsList

  1. Assumption-lean logistic regression with missing covariates

    Oct 5, 2026Jyotishka Ray Choudhury, Kabir Aladin Verchand, Richard J. Samworth +1Logistic RegressionLearning with Missing Data

    School of Industrial and Systems Engineering, Georgia Institute of Technology · Department of Data Sciences and Operations, University of Southern California · Statistical Laboratory, University of Cambridge +1

  2. ARO: Aligned Representation learning for multi-Omics data

    Oct 5, 2026Amogh Singh, Yash Shah, Chiara D'Ercoli +4Missing-Modality LearningLearning with Missing Data

    Department of Computer Science, University of Cambridge, Cambridge, UK · DIAG, University of Rome “Sapienza”, Rome, Italy · Max Planck Institute for Intelligent Systems

  3. Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates

    Oct 4, 2026Renhao Zhong, Zihan Zhou, Chiyuan Ma +1Incomplete Data ImputationLearning with Missing Data

    The Chinese University of Hong Kong, Shenzhen · Shanghai Artificial Intelligence Laboratory

  4. 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 +3Model SelectionTime Series Classification

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

  5. Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach

    Sep 30, 2026Yuxuan Han, Xiaoyu Fan, Jiawei Zhang +1Inventory ControlLearning with Missing Data

    Stern School of Business, New York University

  6. MASCIT: A Mask-Aware State Space Classifier for Naturally Irregular Time Series

    Sep 28, 2026Yoo-Min Jung, Hyeon-Gi Kim, Jonghun ParkIrregular Time-Series ModelingSelective SSMs

    Department of Industrial Engineering Seoul National University, Seoul, Republic of Korea

  7. Unknown is not normal: separating language-model extraction from rule-based decision logic for clinical risk scores

    Sep 28, 2026Nicolás Vera ZúñigaClinical Decision SupportLearning with Missing Data

    Independent Researcher, Chile

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

    Sep 23, 2026Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1Incomplete Data ImputationMasked Autoencoders

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

  9. Optimal Sequential Annotations for Off-Policy Evaluation

    Sep 22, 2026Woojin Chae, Ezinne Nwankwo, Haitong Qin +1Off-Policy EvaluationLearning with Missing Data

    University of Southern California · University of California, Berkeley · University of Washington, Seattle

  10. Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference

    Sep 22, 2026Xinbing Kong, Zeyu Li, Junfan Mao +1Causal Counterfactual GenerationLow-Rank Matrix Decomposition

    Southeast University · University of Science and Technology of China

  11. ITSY: Causal Discovery From Irregular Time-Series Data

    Sep 20, 2026Wenbo Xu, Yue He, Yunhai Wang +2Irregular Time-Series ModelingStructural Causal Models

    Renmin University of China, China · Zhejiang University, China

  12. Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion

    Sep 14, 2026Junichiro NiimiLearning with Missing DataConditional Distribution Estimation

    Meijo University

  13. Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features

    Sep 14, 2026Siqi Li, Wangxuan Fan, Yiming Li +2Feature AttributionLearning with Missing Data

    Centre for Biomedical Data Science, Duke-NUS Medical School · School of Data Science, Chinese University of Hong Kong, Shenzhen · Department of Biostatistics, Columbia University +3

  14. MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection

    Sep 9, 2026Yuyao Wang, Juliana Y. Leung, Di NiuLearning with Missing DataRemote Sensing

    Department of Electrical and Computer Engineering University of Alberta Edmonton, Canada · Department of Civil and Environmental Engineering University of Alberta Edmonton, Canada

  15. Coupled Tensor-Tensor Completion Method with Applications in Drug Repurposing

    Sep 2, 2026Maryam Bagherian, Albert Hung, Ivo Dinov +1Tensor CompletionLearning with Missing Data

    Department of Mathematics & Statistics, Idaho State University, Physical Science Complex — 921 S. 8th Ave., Stop 8085 — Pocatello, ID 83209 · Computer Science & Artificial Intelligence Laboratory, Massachusetts Institute of Technology · Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor +2

  16. Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data

    Sep 1, 2026Xiao Zhao, Daniela OelkeLearning with Missing DataTabular ML

    Institute for Machine Learning and Analytics Offenburg University · Department of Electrical Engineering, Medical Engineering and Computer Science Offenburg University

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

    Sep 1, 2026Jinran Wu, You-Gan Wang, Geoffrey J. McLachlanLearning with Missing DataBinary Classification

    The University of Queensland, Australia

  18. Nonparametric Contextual Pricing and Inventory Learning under Censored Demand

    Aug 31, 2026Zean Han, Jing Liang, Ruihan Lin +2Inventory ControlLearning with Missing Data

    Department of Industrial Engineering and Decision Analytics The Hong Kong University of Science and Technology

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

    Aug 31, 2026Fariborz Setoudehtazang, Geoffrey J. McLachlanInformation GeometryLearning with Missing Data

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

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

    Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Variational AutoencodersIncomplete Data Imputation

    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

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

    Aug 12, 2026Haochen Zhang, Jiaheng Guo, Yu-Chao Huang +2Learning with Missing DataTime Series Generation

    UNITES Lab, University of North Carolina at Chapel Hill

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

    Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Irregular Time-Series ModelingGraph Attention Networks

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

  23. Closing the loop in learning with missing data

    Aug 10, 2026Dimitrios Pylorof, Humberto E. GarciaLearning with Missing DataAdaptive Learning

    U.S. Department of Energy Idaho National Laboratory

  24. Handling Missing Data in Probabilistic Regression Trees

    Aug 6, 2026Taiane Schaedler Prass, Alisson Silva Neimaier, Guilherme PumiLearning with Missing DataDecision Tree Learning

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

  25. Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data

    Aug 6, 2026Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers +2Learning with Missing DataMixed-Effects Models

    Department of Biostatistics, Erasmus University Medical Center, the Netherlands · Department of Epidemiology, Erasmus University Medical Center, the Netherlands · Department of Child Psychiatry, Erasmus University Medical Center, the Netherlands +1

  26. CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence

    Aug 4, 2026Guan Qiang, Yushen Chen, Tianlong Liu +3Selective PredictionClinical Triage

    Western University, London, Ontario, Canada · Centre for Addiction and Mental Health, Toronto, Ontario, Canada

  27. From fragmented data to actionable design: Physics-calibrated learning for plastic upcycling

    Aug 3, 2026Jingyang Bai, Zijia Wang, Xiangyi Long +3Mixture of ExpertsLearning with Missing Data

    Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK · Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK · Interdisciplinary Research Center for Refining and Advanced Chemicals, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia +4

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

    Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1Time Series ImputationLearning with Missing Data

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

  29. Flow Matching with Missing Data

    Jul 30, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Peizhong JuFlow MatchingIncomplete Data Imputation

    Department of Computer Science, University of Kentucky

  30. Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests

    Jul 28, 2026Mohammad Tajabadi, Dominik HeiderLearning with Missing DataDecentralized Learning

    Institute of Medical Informatics, University of Münster, Münster, Germany

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

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

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

    San Jose State University

  39. 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

  40. 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

  41. 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

  42. Missing Data Imputation under Manifold Hypothesis

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

  43. 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

  44. 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

  45. 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

  46. Unsupervised Learning for Missing Modalities in Multimodal Learning

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

    Bournemouth University Bournemouth, UK

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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.

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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