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Multiple Causal Inference with Latent Confounding
v1v2v3 (latest)

Multiple Causal Inference with Latent Confounding

21 May 2018
Rajesh Ranganath
A. Perotte
    CML
ArXiv (abs)PDFHTML

Papers citing "Multiple Causal Inference with Latent Confounding"

14 / 14 papers shown
Title
DeCaFlow: A Deconfounding Causal Generative Model
DeCaFlow: A Deconfounding Causal Generative Model
Alejandro Almodóvar
Adrián Javaloy
J. Parras
Santiago Zazo
Isabel Valera
CML
76
0
0
19 Mar 2025
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CMLOOD
212
2
0
16 Oct 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG
  Learning
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman
Chao Ma
Agrin Hilmkil
Joel Jennings
Cheng Zhang
CMLAI4CE
93
10
0
22 Mar 2023
Multi-treatment Effect Estimation from Biomedical Data
Multi-treatment Effect Estimation from Biomedical Data
Raquel Y. S. Aoki
Yizhou Chen
M. Ester
68
0
0
14 Dec 2021
Causal Discovery from Conditionally Stationary Time Series
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas
Ruibo Tu
Tanmayee Narendra
Yingzhen Li
Gabriele Schweikert
Hedvig Kjellström
Yingzhen Li
AI4TSBDLCML
170
6
0
12 Oct 2021
Desiderata for Representation Learning: A Causal Perspective
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
73
84
0
08 Sep 2021
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of
  Heterogeneous Data
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data
N. Alipourfard
Keith Burghardt
Kristina Lerman
43
0
0
31 Aug 2021
General Control Functions for Causal Effect Estimation from Instrumental
  Variables
General Control Functions for Causal Effect Estimation from Instrumental Variables
A. Puli
Rajesh Ranganath
CML
107
4
0
08 Jul 2019
Adapting Text Embeddings for Causal Inference
Adapting Text Embeddings for Causal Inference
Victor Veitch
Dhanya Sridhar
David M. Blei
CML
61
21
0
29 May 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic
  Health Records
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
Linying Zhang
Yixin Wang
A. Ostropolets
J. J. Mulgrave
David M. Blei
G. Hripcsak
BDLCML
136
1
0
03 Apr 2019
Using Embeddings to Correct for Unobserved Confounding in Networks
Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch
Yixin Wang
David M. Blei
CML
91
58
0
11 Feb 2019
Time Series Deconfounder: Estimating Treatment Effects over Time in the
  Presence of Hidden Confounders
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
Ioana Bica
Ahmed Alaa
M. Schaar
BDLCMLAI4TS
86
114
0
01 Feb 2019
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
David Kaltenpoth
Jilles Vreeken
CML
106
22
0
21 Jan 2019
The Blessings of Multiple Causes
The Blessings of Multiple Causes
Yixin Wang
David M. Blei
AI4CECML
70
291
0
17 May 2018
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