conftrace_

missing not at random

14 papers

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Also known as

MNAR

Co-occurring keywords

missing datum (111) recommender system (534) rating prediction (36) collaborative filtering (300) propensity score (47) matrix completion (356) matrix factorization (529) missing at random (7) counterfactual learning (57) finite sample bound (12)

Papers

CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random NIPS 2024
Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023
Towards Semi-supervised Learning with Non-random Missing Labels ICCV 2023
Causal Matrix Completion COLT 2023
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NIPS 2020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NIPS 2020
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random ICML 2019
Modeling Dynamic Missingness of Implicit Feedback for Recommendation NIPS 2018
Estimation with Incomplete Data: The Linear Case IJCAI 2018
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014