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MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent
  Variable Models

MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models

25 February 2020
Imke Mayer
Julie Josse
Félix Raimundo
Jean-Philippe Vert
    CML
ArXiv (abs)PDFHTML

Papers citing "MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models"

7 / 7 papers shown
MissDAG: Causal Discovery in the Presence of Missing Data with
  Continuous Additive Noise Models
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise ModelsNeural Information Processing Systems (NeurIPS), 2022
Erdun Gao
Ignavier Ng
Biwei Huang
Li Shen
Wei Huang
Tongliang Liu
Kun Zhang
H. Bondell
CML
521
30
0
27 May 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With
  Unstructured Proxies
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured ProxiesNeural Information Processing Systems (NeurIPS), 2022
Shachi Deshpande
Kaiwen Wang
Dhruv Sreenivas
Zheng Li
Volodymyr Kuleshov
CMLSyDa
476
14
0
18 Mar 2022
To Impute or not to Impute? Missing Data in Treatment Effect Estimation
To Impute or not to Impute? Missing Data in Treatment Effect EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jeroen Berrevoets
F. Imrie
T. Kyono
James Jordon
M. Schaar
445
21
0
04 Feb 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo
  Objectives
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives
Pierre-Alexandre Mattei
J. Frellsen
182
4
0
26 Jan 2022
Conservative Policy Construction Using Variational Autoencoders for
  Logged Data with Missing Values
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing ValuesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Mahed Abroshan
K. H. Yip
Cem Tekin
Mihaela van der Schaar
CMLOffRL
146
4
0
08 Sep 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent
  Variable Models
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable ModelsNeural Information Processing Systems (NeurIPS), 2021
Severi Rissanen
Pekka Marttinen
CML
558
36
0
12 Feb 2021
Causal Discovery from Incomplete Data using An Encoder and Reinforcement
  Learning
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning
Xiaoshui Huang
Fujin Zhu
Lois Holloway
Ali Haidar
CML
176
10
0
09 Jun 2020
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