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MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
4 November 2021
Trent Kyono
Yao Zhang
Alexis Bellot
M. Schaar
CML
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Papers citing
"MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms"
17 / 17 papers shown
Title
Prediction Models That Learn to Avoid Missing Values
Lena Stempfle
Anton Matsson
Newton Mwai
Fredrik D. Johansson
161
0
0
06 May 2025
New User Event Prediction Through the Lens of Causal Inference
H. Yuchi
Shixiang Zhu
Li Dong
Yigit M. Arisoy
Matthew C. Spencer
77
0
0
08 Jul 2024
Deep Learning for Multivariate Time Series Imputation: A Survey
Jun Wang
Wenjie Du
Yiyuan Yang
Linglong Qian
Wei Cao
Yuxuan Liang
Wenjia Wang
Yuxuan Liang
Qingsong Wen
AI4TS
SyDa
BDL
92
44
0
06 Feb 2024
Handling Missing Data with Graph Representation Learning
Jiaxuan You
Xiaobai Ma
D. Ding
Mykel Kochenderfer
J. Leskovec
63
181
0
30 Oct 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery
Trent Kyono
Yao Zhang
M. Schaar
OOD
CML
62
69
0
28 Sep 2020
Full Law Identification In Graphical Models Of Missing Data: Completeness Results
Razieh Nabi
Rohit Bhattacharya
I. Shpitser
33
49
0
10 Apr 2020
Missing Data Imputation using Optimal Transport
Boris Muzellec
Julie Josse
Claire Boyer
Marco Cuturi
OT
55
124
0
10 Feb 2020
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric Xing
CML
155
260
0
29 Sep 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
Rohit Bhattacharya
Razieh Nabi
I. Shpitser
J. M. Robins
CML
44
36
0
29 Jun 2019
Causal Discovery in the Presence of Missing Data
Ruibo Tu
Cheng Zhang
P. Ackermann
Bo Christer Bertilson
Clark Glymour
Hedvig Kjellström
Kun Zhang
CML
57
65
0
11 Jul 2018
Learning Dynamics of Linear Denoising Autoencoders
Arnu Pretorius
Steve Kroon
Herman Kamper
AI4CE
50
26
0
14 Jun 2018
GAIN: Missing Data Imputation using Generative Adversarial Nets
Jinsung Yoon
James Jordon
M. Schaar
GAN
58
1,021
0
07 Jun 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng
Bryon Aragam
Pradeep Ravikumar
Eric Xing
NoLa
CML
OffRL
99
944
0
04 Mar 2018
MIDA: Multiple Imputation using Denoising Autoencoders
Lovedeep Gondara
Ke Wang
AI4CE
83
85
0
08 May 2017
Provable Bounds for Learning Some Deep Representations
Sanjeev Arora
Aditya Bhaskara
Rong Ge
Tengyu Ma
BDL
97
335
0
23 Oct 2013
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
106
540
0
29 May 2013
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
228
4,324
0
04 May 2011
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