On the consistency of supervised learning with missing values

On the consistency of supervised learning with missing values

19 February 2019

Gaël Varoquaux

Papers citing "On the consistency of supervised learning with missing values"

18 / 18 papers shown

Title
Prediction Models That Learn to Avoid Missing Values Lena Stempfle Anton Matsson Newton Mwai Fredrik D. Johansson 40 0 0 06 May 2025
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 66 0 0 21 Apr 2025
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 78 1 0 21 Feb 2025
Robust prediction under missingness shifts P. Rockenschaub Zhicong Xian Alireza Zamanian Marta Piperno Octavia-Andreea Ciora E. Pachl Narges Ahmidi OOD 50 0 0 24 Jun 2024
Random features models: a way to study the success of naive imputation Alexis Ayme Claire Boyer Lpsm Aymeric Dieuleveut Erwan Scornet 30 3 0 06 Feb 2024
Adaptive Optimization for Prediction with Missing Data Dimitris Bertsimas A. Delarue J. Pauphilet 31 1 0 02 Feb 2024
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values Lena Stempfle Fredrik D. Johansson 29 2 0 23 Nov 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 28 2 0 28 Apr 2023
The Missing Indicator Method: From Low to High Dimensions Mike Van Ness Tomas M. Bosschieter Roberto Halpin-Gregorio Madeleine Udell AI4TS 24 15 0 16 Nov 2022
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values O. Lenz Daniel Peralta Chris Cornelis 26 0 0 04 Oct 2022
PROMISSING: Pruning Missing Values in Neural Networks S. M. Kia N. M. Rad Dan Opstal B. V. Schie A. Marquand J. Pluim W. Cahn H. Schnack VLM 29 4 0 03 Jun 2022
Benchmarking missing-values approaches for predictive models on health databases Alexandre Perez-Lebel Gaël Varoquaux Marine Le Morvan Julie Josse J B Poline AI4TS 26 35 0 17 Feb 2022
Regression with Missing Data, a Comparison Study of TechniquesBased on Random Forests Irving Gómez-Méndez Émilien Joly 18 14 0 18 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 51 33 0 21 Sep 2021
Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database Min Sue Park Hyeontae Jo Haeun Lee S. Jung H. Hwang 25 13 0 18 Sep 2021
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models Imke Mayer Julie Josse Félix Raimundo Jean-Philippe Vert CML 29 12 0 25 Feb 2020
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,732 0 18 Aug 2015
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 177 4,222 0 04 May 2011