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Full Law Identification In Graphical Models Of Missing Data: Completeness Results
International Conference on Machine Learning (ICML), 2020
10 April 2020
Razieh Nabi
Rohit Bhattacharya
I. Shpitser
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Papers citing
"Full Law Identification In Graphical Models Of Missing Data: Completeness Results"
27 / 27 papers shown
Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
Razieh Nabi
Rohit Bhattacharya
I. Shpitser
J. M. Robins
CML
164
0
0
16 Oct 2025
Learning-To-Measure: In-context Active Feature Acquisition
Yuta Kobayashi
Zilin Jing
Jiayu Yao
Hongseok Namkoong
Shalmali Joshi
175
1
0
14 Oct 2025
Markov Missing Graph: A Graphical Approach for Missing Data Imputation
Yanjiao Yang
Yen-Chi Chen
108
0
0
03 Sep 2025
Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
Trung-Nghia Phung
Kyle Reese
I. Shpitser
Rohit Bhattacharya
252
1
0
21 Jul 2025
Learning High-dimensional Gaussians from Censored Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Arnab Bhattacharyya
C. Daskalakis
Themis Gouleakis
Yuhao Wang
359
1
0
28 Apr 2025
Domain Adaptation Under MNAR Missingness
Tyrel Stokes
Hyungrok Do
Saul Blecker
Rumi Chunara
Samrachana Adhikari
OOD
309
1
0
01 Apr 2025
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data
Muralikrishnna G. Sethuraman
Razieh Nabi
Faramarz Fekri
OOD
CML
283
1
0
24 Oct 2024
Zero Inflation as a Missing Data Problem: a Proxy-based Approach
Trung-Nghia Phung
Jaron J. R. Lee
Opeyemi Oladapo-Shittu
Eili Y. Klein
A. P. Gurses
...
Kimberly Weems
Jill A. Marsteller
Sara E. Cosgrove
Sara C. Keller
I. Shpitser
312
0
0
01 Jun 2024
Optimal Transport for Structure Learning Under Missing Data
Vy Vo
He Zhao
Trung Le
Edwin V. Bonilla
Dinh Q. Phung
CML
347
6
0
23 Feb 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
Jie Qiao
Zijian Li
Jianhua Yu
Ruichu Cai
Zhifeng Hao
CML
259
6
0
19 Dec 2023
Evaluation of Active Feature Acquisition Methods for Static Feature Settings
Henrik von Kleist
Alireza Zamanian
I. Shpitser
Narges Ahmidi
OffRL
327
4
0
06 Dec 2023
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
Henrik von Kleist
Alireza Zamanian
I. Shpitser
Narges Ahmidi
OffRL
723
8
0
03 Dec 2023
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
International Conference on Machine Learning (ICML), 2023
Zixiao Wang
AmirEmad Ghassami
I. Shpitser
322
1
0
15 Nov 2023
Copula-Based Deep Survival Models for Dependent Censoring
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Ali Hossein Gharari Foomani
Michael Cooper
Russell Greiner
Rahul G. Krishnan
186
14
0
20 Jun 2023
Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Anna Guo
Jiwei Zhao
Razieh Nabi
250
9
0
10 Jun 2023
Correcting for Selection Bias and Missing Response in Regression using Privileged Information
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Philip A. Boeken
Noud de Kroon
Mathijs de Jong
Joris M. Mooij
O. Zoeter
237
4
0
29 Mar 2023
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Neural Information Processing Systems (NeurIPS), 2022
Erdun Gao
Ignavier Ng
Biwei Huang
Li Shen
Wei Huang
Tongliang Liu
Kun Zhang
H. Bondell
CML
508
30
0
27 May 2022
On Testability and Goodness of Fit Tests in Missing Data Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Razieh Nabi
Rohit Bhattacharya
225
11
0
28 Feb 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
PLOS Digital Health (PDH), 2022
Simon Bing
Andrea Dittadi
Stefan Bauer
Patrick Schwab
SyDa
179
24
0
20 Jan 2022
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data
Journal of machine learning research (JMLR), 2021
Vaidotas Šimkus
Benjamin Rhodes
Michael U. Gutmann
430
9
0
25 Nov 2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Neural Information Processing Systems (NeurIPS), 2021
Trent Kyono
Yao Zhang
Alexis Bellot
M. Schaar
CML
333
91
0
04 Nov 2021
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
IEEE Transactions on Big Data (TBD), 2021
Jeremy Zucker
Kaushal Paneri
Sara Mohammad-Taheri
Somya Bhargava
Pallavi Kolambkar
...
J. Teuton
Charles Tapley Hoyt
Kristie L. Oxford
Robert Osazuwa Ness
O. Vitek
CML
240
14
0
13 Jan 2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2020
Naman Goel
Alfonso Amayuelas
Amit Deshpande
Ajay Sharma
FaML
282
36
0
21 Dec 2020
NeuMiss networks: differentiable programming for supervised learning with missing values
Marine Le Morvan
Julie Josse
Thomas Moreau
Erwan Scornet
Gaël Varoquaux
338
8
0
03 Jul 2020
Pattern graphs: a graphical approach to nonmonotone missing data
Annals of Statistics (Ann. Stat.), 2020
Yen-Chi Chen
342
16
0
01 Apr 2020
Optimal Training of Fair Predictive Models
CLEaR (CLEaR), 2019
Razieh Nabi
Daniel Malinsky
I. Shpitser
290
15
0
09 Oct 2019
Estimation and imputation in Probabilistic Principal Component Analysis with Missing Not At Random data
Neural Information Processing Systems (NeurIPS), 2019
Aude Sportisse
Claire Boyer
Julie Josse
271
35
0
06 Jun 2019
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