Identifiable Generative Models for Missing Not at Random Data Imputation

27 October 2021

Chao Ma

Papers citing "Identifiable Generative Models for Missing Not at Random Data Imputation"

21 / 21 papers shown

Title
Domain Adaptation Under MNAR Missingness Tyrel Stokes Hyungrok Do Saul Blecker Rumi Chunara Samrachana Adhikari OOD 38 0 0 01 Apr 2025
Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks Liang Zhang Jionghao Lin John Sabatini Diego Zapata-Rivera Carol Forsyth Yang Jiang John Hollander Xiangen Hu Arthur C. Graesser 44 0 0 23 Mar 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 60 0 0 03 Mar 2025
Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning D. Koyuncu Alex Gittens B. Yener M. Yung AAML 13 0 0 06 Sep 2024
Generative Adversarial Networks for Imputing Sparse Learning Performance Liang Zhang Mohammed Yeasin Jionghao Lin Felix Havugimana Xiangen Hu 18 2 0 26 Jul 2024
Symmetric Matrix Completion with ReLU Sampling Huikang Liu Peng Wang Longxiu Huang Qing Qu Laura Balzano 16 3 0 09 Jun 2024
Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units Alan Wu Tilendra Choudhary Pulakesh Upadhyaya Ayman Ali Philip Yang Rishikesan Kamaleswaran 18 0 0 04 May 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 26 2 0 05 Mar 2024
Optimal Transport for Structure Learning Under Missing Data Vy Vo He Zhao Trung Le Edwin V. Bonilla Dinh Q. Phung CML 27 3 0 23 Feb 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model Jie Qiao Zhengming Chen Jianhua Yu Ruichu Cai Zhifeng Hao CML 8 3 0 19 Dec 2023
Posterior Consistency for Missing Data in Variational Autoencoders Timur Sudak Sebastian Tschiatschek 17 3 0 25 Oct 2023
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank Mouxiang Chen Chenghao Liu Zemin Liu Zhuo Li Jianling Sun CML 11 2 0 27 Sep 2023
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 11 15 0 25 Sep 2023
Deep Generative Imputation Model for Missing Not At Random Data Jia-Lve Chen Yuanbo Xu Pengyang Wang Yongjian Yang SyDa 14 8 0 16 Aug 2023
Leveraging variational autoencoders for multiple data imputation Breeshey Roskams-Hieter J. Wells S. Wade DRL 14 4 0 30 Sep 2022
Deeply-Learned Generalized Linear Models with Missing Data David K. Lim N. Rashid Junier B Oliva J. Ibrahim AI4CE 11 0 0 18 Jul 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 6 74 0 15 Jun 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models Erdun Gao Ignavier Ng Mingming Gong Li Shen Wei Huang Tongliang Liu Kun Zhang H. Bondell CML 11 23 0 27 May 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 13 17 0 20 Jan 2022
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 6 8 0 25 Nov 2021
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 157 4,191 0 04 May 2011