What's a good imputation to predict with missing values?

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What's a good imputation to predict with missing values?

1 June 2021

Marine Le Morvan

Gaël Varoquaux

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Papers citing "What's a good imputation to predict with missing values?"

10 / 10 papers shown

Title
Prediction Models That Learn to Avoid Missing Values Lena Stempfle Anton Matsson Newton Mwai Fredrik D. Johansson 164 0 0 06 May 2025
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 239 1 0 21 Apr 2025
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 188 4 0 21 Feb 2025
Adaptive Optimization for Prediction with Missing Data Dimitris Bertsimas A. Delarue J. Pauphilet 97 2 0 02 Feb 2024
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings Henrik von Kleist Alireza Zamanian I. Shpitser Narges Ahmidi OffRL 183 3 0 03 Dec 2023
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 71 36 0 28 Oct 2023
Linear predictor on linearly-generated data with missing values: non consistency and solutions Marine Le Morvan Nicolas Prost Julie Josse Erwan Scornet Gaël Varoquaux 49 26 0 03 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 535 42,591 0 03 Dec 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 61 1,023 0 07 Jun 2018
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 812 39,062 0 09 Mar 2016

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