| Improving Missing Data Imputation with Deep Generative Models | Feb 27, 2019 | ImputationMissing Values | CodeCode Available | 0 |
| Optimal Clustering with Missing Values | Feb 26, 2019 | ClusteringImputation | —Unverified | 0 |
| HexaGAN: Generative Adversarial Nets for Real World Classification | Feb 26, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Graph Neural Processes: Towards Bayesian Graph Neural Networks | Feb 26, 2019 | Imputation | —Unverified | 0 |
| On the consistency of supervised learning with missing values | Feb 19, 2019 | AttributeImputation | CodeCode Available | 0 |
| Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations | Feb 15, 2019 | continuous-controlContinuous Control | —Unverified | 0 |
| On L_2-consistency of nearest neighbor matching | Feb 6, 2019 | Causal InferenceDomain Adaptation | —Unverified | 0 |
| NAOMI: Non-Autoregressive Multiresolution Sequence Imputation | Jan 30, 2019 | Imitation LearningImputation | CodeCode Available | 1 |
| CollaGAN : Collaborative GAN for Missing Image Data Imputation | Jan 28, 2019 | Generative Adversarial NetworkImage Imputation | CodeCode Available | 0 |
| Supervised Learning for Multi-Block Incomplete Data | Jan 14, 2019 | ImputationVariable Selection | —Unverified | 0 |
| Imputation and low-rank estimation with Missing Not At Random data | Dec 29, 2018 | ImputationMatrix Completion | CodeCode Available | 0 |
| Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation | Dec 29, 2018 | ImputationMissing Values | —Unverified | 0 |
| Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data | Dec 20, 2018 | Gaussian ProcessesImputation | —Unverified | 0 |
| Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation | Dec 20, 2018 | Gaussian ProcessesImputation | —Unverified | 0 |
| Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames | Dec 20, 2018 | ClusteringImputation | —Unverified | 0 |
| Evaluating the Impact of Intensity Normalization on MR Image Synthesis | Dec 11, 2018 | Image GenerationImputation | CodeCode Available | 0 |
| MIWAE: Deep Generative Modelling and Imputation of Incomplete Data | Dec 6, 2018 | Imputation | —Unverified | 0 |
| Imputation of Clinical Covariates in Time Series | Dec 2, 2018 | ImputationTime Series | —Unverified | 0 |
| Multivariate Time Series Imputation with Generative Adversarial Networks | Dec 1, 2018 | Image GenerationImputation | —Unverified | 0 |
| Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved | Nov 27, 2018 | Decision MakingFairness | CodeCode Available | 0 |
| An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics | Nov 19, 2018 | Imputation | —Unverified | 0 |
| Feature Selection Approach with Missing Values Conducted for Statistical Learning: A Case Study of Entrepreneurship Survival Dataset | Oct 2, 2018 | feature selectionGeneral Classification | —Unverified | 0 |
| Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection | Sep 22, 2018 | Community DetectionImputation | CodeCode Available | 0 |
| Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications | Sep 19, 2018 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation | Sep 8, 2018 | Imputation | —Unverified | 0 |
| Embedding Multimodal Relational Data for Knowledge Base Completion | Sep 5, 2018 | ImputationKnowledge Base Completion | CodeCode Available | 0 |
| Anomaly Detection in the Presence of Missing Values | Sep 5, 2018 | Anomaly DetectionImputation | —Unverified | 0 |
| Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs | Aug 20, 2018 | ImputationSegmentation | —Unverified | 0 |
| Medical Image Imputation from Image Collections | Aug 17, 2018 | AnatomyImage Imputation | CodeCode Available | 0 |
| Robust training of recurrent neural networks to handle missing data for disease progression modeling | Aug 16, 2018 | image-classificationImage Classification | —Unverified | 0 |
| Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction | Aug 15, 2018 | ImputationMissing Values | —Unverified | 0 |
| Missing Value Imputation Based on Deep Generative Models | Aug 5, 2018 | ImputationMissing Values | —Unverified | 0 |
| Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data | Jul 27, 2018 | Emotion RecognitionImputation | —Unverified | 0 |
| Propensity score estimation using classification and regression trees in the presence of missing covariate data | Jul 25, 2018 | General ClassificationImputation | —Unverified | 0 |
| Handling Incomplete Heterogeneous Data using VAEs | Jul 10, 2018 | Imputation | CodeCode Available | 0 |
| Multi-Task Learning with Incomplete Data for Healthcare | Jul 6, 2018 | ImputationMissing Values | —Unverified | 0 |
| Handling missing values: A study of popular imputation packages in R | Jun 28, 2018 | ImputationMissing Values | —Unverified | 0 |
| GAIN: Missing Data Imputation using Generative Adversarial Nets | Jun 7, 2018 | ImputationMultivariate Time Series Imputation | CodeCode Available | 1 |
| Variational Autoencoder with Arbitrary Conditioning | Jun 6, 2018 | DiversityImage Inpainting | CodeCode Available | 0 |
| BRITS: Bidirectional Recurrent Imputation for Time Series | May 27, 2018 | General ClassificationImputation | CodeCode Available | 0 |
| Structured Bayesian Gaussian process latent variable model | May 22, 2018 | Imputationmodel | —Unverified | 0 |
| Processing of missing data by neural networks | May 18, 2018 | Imputation | CodeCode Available | 1 |
| Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders | May 9, 2018 | Dimensionality ReductionGeneral Classification | —Unverified | 0 |
| Hierarchical correlation reconstruction with missing data, for example for biology-inspired neuron | Apr 17, 2018 | Density EstimationImputation | —Unverified | 0 |
| Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion | Mar 30, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Semi-supervised learning for structured regression on partially observed attributed graphs | Mar 28, 2018 | ImputationMissing Labels | —Unverified | 0 |
| An Unsupervised Homogenization Pipeline for Clustering Similar Patients using Electronic Health Record Data | Mar 21, 2018 | ClusteringDiagnostic | —Unverified | 0 |
| An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples | Mar 21, 2018 | General ClassificationImputation | —Unverified | 0 |
| Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values | Mar 1, 2018 | ImputationMissing Values | —Unverified | 0 |
| Model Agnostic Time Series Analysis via Matrix Estimation | Feb 25, 2018 | ImputationMissing Values | CodeCode Available | 0 |