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Causal Transformer for Estimating Counterfactual Outcomes

Causal Transformer for Estimating Counterfactual Outcomes

14 April 2022
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
    CML
ArXivPDFHTML

Papers citing "Causal Transformer for Estimating Counterfactual Outcomes"

25 / 25 papers shown
Title
Sequential Treatment Effect Estimation with Unmeasured Confounders
Sequential Treatment Effect Estimation with Unmeasured Confounders
Yingrong Wang
Anpeng Wu
Yangqiu Song
Ziyang Xiao
Ruoxuan Xiong
Qing Han
Kun Kuang
CML
43
0
0
14 May 2025
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
Minh Hoang Nguyen
Linh Le Pham Van
Thommen George Karimpanal
Sunil Gupta
Hung Le
OffRL
LRM
37
0
0
14 May 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
64
0
0
10 Jan 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess
Stefan Feuerriegel
56
0
0
04 Oct 2024
New User Event Prediction Through the Lens of Causal Inference
New User Event Prediction Through the Lens of Causal Inference
H. Yuchi
Shixiang Zhu
Li Dong
Yigit M. Arisoy
Matthew C. Spencer
42
0
0
08 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
37
7
0
07 Jul 2024
G-Transformer: Counterfactual Outcome Prediction under Dynamic and
  Time-varying Treatment Regimes
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes
Hong Xiong
Feng Wu
Leon Deng
Megan Su
Li-wei H. Lehman
AI4CE
33
2
0
08 Jun 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival,
  and Recurrent Events with Concurrent Latent Structure
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
Zhiyue Zhang
Yao Zhao
Yan Xu
19
0
0
04 Apr 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal
  Data with Time-Dependent Latent Confounders
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
Wentao Gao
T. Le
CML
44
6
0
12 Dec 2023
Learning the Causal Structure of Networked Dynamical Systems under
  Latent Nodes and Structured Noise
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise
Augusto Santos
Diogo Rente
Rui Seabra
José M. F. Moura
19
4
0
10 Dec 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect
  Estimation
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
CML
32
9
0
19 Nov 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised
  Learning
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng
Yihe Dong
Sercan Ö. Arik
Yan Liu
Tomas Pfister
CML
AI4TS
29
0
0
01 Nov 2023
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
CML
OOD
71
2
0
16 Oct 2023
Fair Off-Policy Learning from Observational Data
Fair Off-Policy Learning from Observational Data
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaML
OffRL
25
6
0
15 Mar 2023
Causal Deep Learning
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
AI4CE
21
25
0
03 Mar 2023
Clinical Decision Transformer: Intended Treatment Recommendation through
  Goal Prompting
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting
Seunghyun Lee
D. Lee
Sujeong Im
N. Kim
Sung-Min Park
30
11
0
01 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality
A Survey of Methods, Challenges and Perspectives in Causality
Gaël Gendron
Michael Witbrock
Gillian Dobbie
OOD
AI4CE
CML
44
13
0
01 Feb 2023
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
36
11
0
07 Nov 2022
Dynamic Survival Transformers for Causal Inference with Electronic
  Health Records
Dynamic Survival Transformers for Causal Inference with Electronic Health Records
P. Chatha
Yixin Wang
Zhenke Wu
Jeffrey Regier
CML
36
1
0
25 Oct 2022
Time Series Causal Link Estimation under Hidden Confounding using
  Knockoff Interventions
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions
V. T. Trifunov
M. Shadaydeh
Joachim Denzler
CML
BDL
29
3
0
23 Sep 2022
Estimating individual treatment effects under unobserved confounding
  using binary instruments
Estimating individual treatment effects under unobserved confounding using binary instruments
Dennis Frauen
Stefan Feuerriegel
CML
23
18
0
17 Aug 2022
Estimating average causal effects from patient trajectories
Estimating average causal effects from patient trajectories
Dennis Frauen
Tobias Hatt
Valentyn Melnychuk
Stefan Feuerriegel
OOD
CML
19
25
0
02 Mar 2022
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over
  Time Using Noisy Proxies
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
50
21
0
06 Dec 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
171
3,913
0
14 Dec 2020
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
720
0
12 May 2016
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