missing data imputation

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019 HexaGAN: Generative Adversarial Nets for Real World Classification ICML 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 Prediction of Crowd Flow in City Complex with Missing Data ACML 2019 From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018 GAIN: Missing Data Imputation using Generative Adversarial Nets ICML 2018 Leveraging the Exact Likelihood of Deep Latent Variable Models NeurIPS 2018 Temporal Belief Memory: Imputing Missing Data during RNN Training IJCAI 2018 A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NeurIPS 2017 Missing Modalities Imputation via Cascaded Residual Autoencoder CVPR 2017 Scalable geometric density estimation AISTATS 2016 Bidirectional Recurrent Neural Networks as Generative Models NeurIPS 2015 Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems JMLR 2014 Robust Kernel Principal Component Analysis NeurIPS 2008