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

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

1 June 2021
Marine Le Morvan
Julie Josse
Erwan Scornet
Gaël Varoquaux
    AI4TS
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Papers citing "What's a good imputation to predict with missing values?"

14 / 14 papers shown
Title
Prediction Models That Learn to Avoid Missing Values
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
Deep learning with missing data
Tianyi Ma
Tengyao Wang
R. Samworth
59
0
0
21 Apr 2025
Imputation for prediction: beware of diminishing returns
Imputation for prediction: beware of diminishing returns
Marine Le Morvan
Gaël Varoquaux
AI4TS
73
1
0
21 Feb 2025
Robust prediction under missingness shifts
Robust prediction under missingness shifts
P. Rockenschaub
Zhicong Xian
Alireza Zamanian
Marta Piperno
Octavia-Andreea Ciora
E. Pachl
Narges Ahmidi
OOD
42
0
0
24 Jun 2024
Adaptive Optimization for Prediction with Missing Data
Adaptive Optimization for Prediction with Missing Data
Dimitris Bertsimas
A. Delarue
J. Pauphilet
29
1
0
02 Feb 2024
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Henrik von Kleist
Alireza Zamanian
I. Shpitser
Narges Ahmidi
OffRL
22
2
0
03 Dec 2023
FedECA: A Federated External Control Arm Method for Causal Inference
  with Time-To-Event Data in Distributed Settings
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings
Jean Ogier du Terrail
Quentin Klopfenstein
Honghao Li
Imke Mayer
Nicolas Loiseau
Mohammad Hallal
Félix Balazard
M. Andreux
16
2
0
28 Nov 2023
MINTY: Rule-based Models that Minimize the Need for Imputing Features
  with Missing Values
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values
Lena Stempfle
Fredrik D. Johansson
20
2
0
23 Nov 2023
Algorithmic Recourse with Missing Values
Algorithmic Recourse with Missing Values
Kentaro Kanamori
Takuya Takagi
Ken Kobayashi
Yuichi Ike
21
2
0
28 Apr 2023
The Missing Indicator Method: From Low to High Dimensions
The Missing Indicator Method: From Low to High Dimensions
Mike Van Ness
Tomas M. Bosschieter
Roberto Halpin-Gregorio
Madeleine Udell
AI4TS
19
15
0
16 Nov 2022
Domain Adaptation under Missingness Shift
Domain Adaptation under Missingness Shift
Helen Zhou
Sivaraman Balakrishnan
Zachary Chase Lipton
25
8
0
03 Nov 2022
Sharing pattern submodels for prediction with missing values
Sharing pattern submodels for prediction with missing values
Lena Stempfle
Ashkan Panahi
Fredrik D. Johansson
6
6
0
22 Jun 2022
PROMISSING: Pruning Missing Values in Neural Networks
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
19
4
0
03 Jun 2022
Benchmarking missing-values approaches for predictive models on health
  databases
Benchmarking missing-values approaches for predictive models on health databases
Alexandre Perez-Lebel
Gaël Varoquaux
Marine Le Morvan
Julie Josse
J B Poline
AI4TS
23
35
0
17 Feb 2022
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