Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.00658
Cited By
v1
v2 (latest)
Linear predictor on linearly-generated data with missing values: non consistency and solutions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
3 February 2020
Marine Le Morvan
Nicolas Prost
Julie Josse
Erwan Scornet
Gaël Varoquaux
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Linear predictor on linearly-generated data with missing values: non consistency and solutions"
20 / 20 papers shown
Linear Regression under Missing or Corrupted Coordinates
Ilias Diakonikolas
Jelena Diakonikolas
Daniel M. Kane
Jasper C. H. Lee
Thanasis Pittas
127
1
0
23 Sep 2025
Knockout: A simple way to handle missing inputs
Minh Le Nguyen
Batuhan K. Karaman
Heejong Kim
Alan Q. Wang
Fengbei Liu
M. Sabuncu
OOD
UQCV
412
5
0
30 May 2024
Random features models: a way to study the success of naive imputation
International Conference on Machine Learning (ICML), 2024
Alexis Ayme
Claire Boyer Lpsm
Hadrien Hendrikx
Erwan Scornet
304
7
0
06 Feb 2024
Adaptive Optimization for Prediction with Missing Data
Dimitris Bertsimas
A. Delarue
J. Pauphilet
468
5
0
02 Feb 2024
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Lena Stempfle
Fredrik D. Johansson
295
3
0
23 Nov 2023
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
Iranian Conference on Biomedical Engineering (ICBME), 2023
Hanif Kia
M. Vali
H. Sabahi
AI4CE
158
1
0
30 Sep 2023
Conformal Prediction with Missing Values
International Conference on Machine Learning (ICML), 2023
Margaux Zaffran
Hadrien Hendrikx
Julie Josse
Yaniv Romano
373
30
0
05 Jun 2023
Adapting Fairness Interventions to Missing Values
Neural Information Processing Systems (NeurIPS), 2023
R. Feng
Flavio du Pin Calmon
Hao Wang
FaML
224
16
0
30 May 2023
Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism
International Conference on Machine Learning (ICML), 2023
Aude Sportisse
Hugo Schmutz
O. Humbert
C. Bouveyron
Pierre-Alexandre Mattei
323
10
0
15 Feb 2023
Naive imputation implicitly regularizes high-dimensional linear models
International Conference on Machine Learning (ICML), 2023
Alexis Ayme
Claire Boyer
Hadrien Hendrikx
Erwan Scornet
AI4CE
160
10
0
31 Jan 2023
The Missing Indicator Method: From Low to High Dimensions
Knowledge Discovery and Data Mining (KDD), 2022
Mike Van Ness
Tomas M. Bosschieter
Roberto Halpin-Gregorio
Madeleine Udell
AI4TS
208
24
0
16 Nov 2022
Domain Adaptation under Missingness Shift
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Helen Zhou
Sivaraman Balakrishnan
Zachary Chase Lipton
378
13
0
03 Nov 2022
Sharing pattern submodels for prediction with missing values
AAAI Conference on Artificial Intelligence (AAAI), 2022
Lena Stempfle
Ashkan Panahi
Fredrik D. Johansson
278
8
0
22 Jun 2022
Benchmarking missing-values approaches for predictive models on health databases
GigaScience (GigaScience), 2022
Alexandre Perez-Lebel
Gaël Varoquaux
Marine Le Morvan
Julie Josse
J B Poline
AI4TS
310
56
0
17 Feb 2022
Minimax rate of consistency for linear models with missing values
Alexis Ayme
Claire Boyer
Hadrien Hendrikx
Erwan Scornet
236
1
0
03 Feb 2022
What's a good imputation to predict with missing values?
Neural Information Processing Systems (NeurIPS), 2021
Marine Le Morvan
Julie Josse
Erwan Scornet
Gaël Varoquaux
AI4TS
602
87
0
01 Jun 2021
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance
Dimitris Bertsimas
A. Delarue
J. Pauphilet
AI4TS
293
3
0
07 Apr 2021
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries
Irving Gómez-Méndez
Émilien Joly
338
2
0
10 Nov 2020
NeuMiss networks: differentiable programming for supervised learning with missing values
Marine Le Morvan
Julie Josse
Thomas Moreau
Erwan Scornet
Gaël Varoquaux
337
8
0
03 Jul 2020
On the consistency of supervised learning with missing values
Julie Josse
Jacob M. Chen
Nicolas Prost
Erwan Scornet
Gaël Varoquaux
416
134
0
19 Feb 2019
1
Page 1 of 1