Cover Image

Imputation for prediction: beware of diminishing returns

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Morvan, Marine Le, Varoquaux, Gaël
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025)

Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
by: Perez-Lebel, Alexandre, et al.
Published: (2025)

TabICLv2: A better, faster, scalable, and open tabular foundation model
by: Qu, Jingang, et al.
Published: (2026)

Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
by: Alberge, Julie, et al.
Published: (2024)

Federated Imputation under Heterogeneous Feature Spaces
by: Hocine, Imane, et al.
Published: (2026)

Federated Markov Imputation: Privacy-Preserving Temporal Imputation in Multi-Centric ICU Environments
by: Düsing, Christoph, et al.
Published: (2025)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
by: Naour, Etienne Le, et al.
Published: (2023)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
by: Zhang, Liang, et al.
Published: (2025)

Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
by: Lefebvre, Félix, et al.
Published: (2025)

TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)

Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)

On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets
by: Joel, Luke Oluwaseye, et al.
Published: (2024)

Imputation of Unknown Missingness in Sparse Electronic Health Records
by: Han, Jun, et al.
Published: (2026)

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion
by: He, Wenying, et al.
Published: (2025)

Closing Gaps: An Imputation Analysis of ICU Vital Signs
by: Turubayev, Alisher, et al.
Published: (2025)

Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022)

BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
by: Collado-Villaverde, Armando, et al.
Published: (2025)

An Interdisciplinary and Cross-Task Review on Missing Data Imputation
by: Fan, Jicong
Published: (2025)

To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
by: Kim, Jungkyu, et al.
Published: (2024)

Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
by: Mao, Xiaowei, et al.
Published: (2026)

Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
by: Jeanselme, Vincent, et al.
Published: (2022)

Impugan: Learning Conditional Generative Models for Robust Data Imputation
by: Mahmud, Zalish, et al.
Published: (2025)

CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
by: Qian, Linglong, et al.
Published: (2023)

LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation
by: Fons, Elizabeth, et al.
Published: (2025)

Quantum-Accelerated Neural Imputation with Large Language Models (LLMs)
by: Jamali, Hossein
Published: (2025)

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)

Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)

Task-oriented Time Series Imputation Evaluation via Generalized Representers
by: Wang, Zhixian, et al.
Published: (2024)

Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
by: Chasalow, Kyla, et al.
Published: (2025)

NeuralPrefix: A Zero-shot Sensory Data Imputation Plugin
by: Khamis, Abdelwahed, et al.
Published: (2025)

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
by: Ochs, Vincent, et al.
Published: (2025)

No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
by: Agarwal, Rohit, et al.
Published: (2023)

CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation
by: Solís-García, Javier, et al.
Published: (2025)

RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
by: Ahamed, Md Atik, et al.
Published: (2025)

MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
by: Zhou, Youran, et al.
Published: (2025)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025)

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
by: Su, Ye, et al.
Published: (2025)

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
by: Li, Runze, et al.
Published: (2025)

Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies
by: Liu, Qi, et al.
Published: (2024)