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End-to-End Balancing for Causal Continuous Treatment-Effect Estimation

End-to-End Balancing for Causal Continuous Treatment-Effect Estimation

27 July 2021
M. T. Bahadori
E. T. Tchetgen
David Heckerman
    CML
ArXivPDFHTML

Papers citing "End-to-End Balancing for Causal Continuous Treatment-Effect Estimation"

9 / 9 papers shown
Title
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
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Winston Chen
Trenton Chang
Jenna Wiens
CML
43
0
0
08 May 2025
Probabilities of Causation for Continuous and Vector Variables
Probabilities of Causation for Continuous and Vector Variables
Yuta Kawakami
Manabu Kuroki
Jin Tian
43
4
0
30 May 2024
Adversarially Balanced Representation for Continuous Treatment Effect
  Estimation
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
Amirreza Kazemi
Martin Ester
CML
OOD
40
3
0
17 Dec 2023
Flexible Functional Treatment Effect Estimation
Flexible Functional Treatment Effect Estimation
Jiayi Wang
Raymond K. W. Wong
Xiaoke Zhang
Kwun Chuen Gary Chan
20
1
0
14 Sep 2023
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models
R. Tahmasbi
Keyvan Tahmasbi
19
0
0
12 Apr 2023
Causal Estimation of Exposure Shifts with Neural Networks: Evaluating
  the Health Benefits of Stricter Air Quality Standards in the US
Causal Estimation of Exposure Shifts with Neural Networks: Evaluating the Health Benefits of Stricter Air Quality Standards in the US
Mauricio Tec
Oladimeji Mudele
K. Josey
Francesca Dominici
CML
OOD
26
0
0
06 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
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
1