Missing Data

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

Twelve weeks of publication activity for this topic as it is defined today.

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Period ending 2026-09-21

1 new paper

A weekly snapshot of new work published in Missing Data.

Period ending 2026-09-07

3 new papers

A weekly snapshot of new work published in Missing Data.

57 papers

Latest in Missing Data

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Admissable: Training Reinforcement Learning Agents against Adversarial Missingness
Sep 14, 2026Paul Stahlhofen, Luca Hermes, Tim Kochs +2Missing Data Legged Robots
Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
Sep 1, 2026Jinran Wu, You-Gan Wang, Geoffrey J. McLachlanSemi-Supervised Learning Mixture Models
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 Impairment Multimodal Clinical Data
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk
Aug 31, 2026Fariborz Setoudehtazang, Geoffrey J. McLachlanMulticlass Classification Missing Data
A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity
Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Missing Data Imputation
Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness
Aug 12, 2026Haochen Zhang, Jiaheng Guo, Yu-Chao Huang +2Synthetic Time Series High-Fidelity Conditional Generation
GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Intensive Care Unit Time-Series Classification
Closing the loop in learning with missing data
Aug 10, 2026Dimitrios Pylorof, Humberto E. GarciaMissing Data Partial Observability
Handling Missing Data in Probabilistic Regression Trees
Aug 6, 2026Taiane Schaedler Prass, Alisson Silva Neimaier, Guilherme PumiMissing Data Imputation
DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning
Aug 5, 2026Junbo Zhang, Qianli Zhou, Xinyang Deng +1Large Language Model Safety Large Language Model Fine-Tuning
GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation
Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1Multivariate Time Series Imputation Missing Data
Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models
Jul 22, 2026Yurong Liu, Yeye He, Haoyu Dong +4Tabular Data Missing Data
Learning Who to Treat When Treatment is Missing
Jul 15, 2026Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1Heterogeneous Treatment Effects Missing Data
Pattern-Aware Graph Neural Networks for Handling Missing Data
Jul 9, 2026Minett Tran, Taehee JeongMissing Data Graph Neural Networks
ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methods
Jul 9, 2026Aitik Dandapat, Lalith Punepalle Raveendrareddy, Mithilesh Kumar Singh +1Multivariate Time Series Imputation Imputation
Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery
Jul 8, 2026Chuyao Zhang, E Li, Taochen Chen +5Multivariate Time Series Imputation Imputation
Missing Data Imputation under Manifold Hypothesis
Jul 3, 2026Zelong Bi, Amuchechukwu Ibenegbu, Sarat MokaMultivariate Time Series Imputation Imputation
Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction
Jul 3, 2026Soyeon Park, Charmgil HongTime-Series Classification Multivariate Time Series Forecasting
Statistical Properties of $k$ -means Clustering for Data Missing Completely at RandomStatistical Properties of k-means Clustering for Data Missing Completely at Random
Jul 2, 2026Xin GuanK-Means Cluster Structure
Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
Jun 18, 2026Ziheng Wei, Annie Qu, Rui MiaoOff-Policy Evaluation Missing Data
Informative Missingness to Generate Irregular Clinical Time Series
Jun 14, 2026Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora +4Missing Data Synthetic Time Series
Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting
Jun 11, 2026Yifan Hu, Hongzhou Chen, Peiyuan Liu +3Missing Data Imputation
Learning What Not to Impute: An Uncertainty-Aware Diffusion Framework for Meaningful Missingness
Jun 3, 2026Lixing Zhang, Yidong Ouyang, Weifu Li +3Multivariate Time Series Imputation Imputation
Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC
Jun 3, 2026Haolu Liu, Xiyue Wang, Xuanting Xie +2Missing Data Training-Inference Mismatch
AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
Jun 2, 2026Jungkyu Kim, Taeyoung Park, Kibok LeeMissing Data Score-Based Diffusion Model
FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
May 28, 2026Kjersti Engan, Neel Kanwal, Anita Yeconia +4Missing Data Mixformer
Causal Label Recovery in Payment Networks
May 28, 2026Gaurav DhamaPayment Networks Propensity
Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations
May 26, 2026Madhulatha Mandarapu, Sandeep KunkunuruKnowledge Graphs Multi-Agent Large Language Model Systems
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 Predictions Biomarker
TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution
May 22, 2026Zijian Kang, Weiming Zeng, Yueyang Li +4Electroencephalography Spatial Super-Resolution Sensing
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 Tracking Cognitive Load
StruMPL: Multi-task Dense Regression under Disjoint Partial Supervision and MNAR Labels
May 19, 2026Reza M. Asiyabi, Juan Alberto Molina-Valero, The SEOSAW Partnership +2Above-Ground Biomass Logistic Regression
Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data
May 19, 2026Ferdinand Genans, Erwan ScornetMissing Data Imputation
Can Large Language Models Revolutionize Survey Research? Experiments with Disaster Preparedness Responses
May 19, 2026Yan Wang, Ziyi Guo, Christopher McCartySurvey Large Language
Quantifying Potential Observation Missingness in Inverse Reinforcement Learning
May 12, 2026Leo Benac, Abhishek Sharma, Alihan Huyuk +1Entropy Regularized Reinforcement Learning Missing Data
Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs
May 12, 2026Joshua Wendland, Markel Zubia, Roman Andriushchenko +6Partially Observable Markov Decision Process Missing Data
Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection
May 12, 2026Hui Li, Zhongquan Jian, Jinsong Su +1Misinformation Detection Natural Language Inference
OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness
May 12, 2026Amanda S BarnardOversampling Missing Data
Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need?
May 8, 2026Jane Paik KimLarge Language Model Evaluation Large Language Model Judges
Future Validity is the Missing Statistic: From Impossibility to $Φ$ -Estimation for Grammar-Faithful Speculative DecodingFuture Validity is the Missing Statistic: From Impossibility to Φ-Estimation for Grammar-Faithful Speculative Decoding
May 8, 2026Wenhua Nie, Zijie Meng, Kun Zou +5Speculative Decoding Context-Free Grammars
Order-Agnostic Autoregressive Modelling with Missing Data
May 7, 2026Ignacio Peis, Pablo M. Olmos, Jes FrellsenMissing Data Imputation
AirQualityBench: A Realistic Evaluation Benchmark for Global Air Quality Forecasting
May 7, 2026Xing Xu, Xu Wang, Yudong Zhang +3Air Pollution Evaluation Benchmarks
Predicting missing values: A good idea?
May 5, 2026Stef van BuurenMultivariate Time Series Imputation Missing Data
Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling
May 3, 2026Qiao LiuImputation Missing Data
EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness
May 1, 2026Yueru Sun, Yimeng Zhang, Haoyu Gu +5Emotion Recognition Modality Gap
End-to-End Learning for Partially-Observed Time Series with PyPOTS
Apr 27, 2026Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1Missing Data Data Mining
Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning
Apr 25, 2026Wugeng Zheng, Ziwen Kan, Katie Wang +2Missing Modalities Missing Data
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
Apr 23, 2026Zihan Liang, Ziwen Pan, Ruoxuan XiongMultimodal Clinical Data Robust Multimodal Learning
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 Data Statistical Models
On the Inherent Privacy Amplification of Missing Data
Feb 2, 2026Simon Roburin, Rafa{ë}l Pinot, Erwan ScornetDifferential Privacy Missing Data
Geometric Stability: The Missing Axis of Representations
Jan 14, 2026Prashant C. RajuSemantic-Geometric Representations Reference-Free Metric
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
Jan 4, 2026Aman Sunesh, Allan Ma, Siddarth NilolAccurate Traffic Forecasting Missing Data
Geometry as a Missing Axis of Representation Quality: The Variational Geometric Information Bottleneck under Data Scarcity
Nov 4, 2025Ronald KatendeInformation Bottleneck Generalization Bounds
Linear Regression under Missing or Corrupted Coordinates
Sep 23, 2025Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane +2Corrupted Observations Missing Data
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
Aug 24, 2025YongKyung Oh, Dong-Young Lim, Sungil Kim +1Time-Series Classification Missing Data
How Reliable are Fairness Audits with Unreliable Data?
Jun 28, 2025Yash Vardhan TomarFairness Audits False Positive Rate
Active Exploration via Autoregressive Generation of Missing Data
May 29, 2024Tiffany Tianhui Cai, Hongseok Namkoong, Daniel Russo +1Efficient Exploration Uncertainty-Aware Inference

Sep 14, 2026 · cs.LGJ/K move · Enter open · S save

Admissable: Training Reinforcement Learning Agents against Adversarial Missingness

Paul Stahlhofen, Luca Hermes, Tim Kochs, Markus Vieth+1

Bielefeld University

In order to make Reinforcement Learning algorithms applicable in real world scenarios, safety must be ensured even under adverse operating conditions. In this work, we consider the challenge of adversarial feature missingness: a scenario in which an adversary occludes features from the agent's observation in order to reduce performance as much as possible. We formally define adversarial missingness for Reinforcement Learning and compare it to the related concepts of

\ell_\infty

-norm bounded adversarial perturbations and learning with missing data. We develop an adversarial training algorithm and show its effectiveness in increasing robustness against adversarial missingness on three MuJoCo benchmark environments. Compared to a baseline trained with random uniform missingness, our method achieves better robustness on all three tasks.

Missing Data Legged Robots

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