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Causal Effect Inference for Structured Treatments

Causal Effect Inference for Structured Treatments

3 June 2021
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
    CML
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Papers citing "Causal Effect Inference for Structured Treatments"

13 / 13 papers shown
Title
Doubly Robust Fusion of Many Treatments for Policy Learning
Doubly Robust Fusion of Many Treatments for Policy Learning
Ke Zhu
Jianing Chu
I. Lipkovich
Wenyu Ye
Shu Yang
31
0
0
12 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
Compositional Models for Estimating Causal Effects
Compositional Models for Estimating Causal Effects
Purva Pruthi
David D. Jensen
CML
65
0
0
25 Jun 2024
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
38
11
0
30 Jan 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
33
11
0
07 Nov 2022
Interpretable Deep Causal Learning for Moderation Effects
Interpretable Deep Causal Learning for Moderation Effects
A. Caron
G. Baio
I. Manolopoulou
CML
OOD
19
2
0
21 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of
  Interpretability
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Jonathan Crabbé
Alicia Curth
Ioana Bica
M. Schaar
CML
20
16
0
16 Jun 2022
Image-based Treatment Effect Heterogeneity
Image-based Treatment Effect Heterogeneity
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
29
20
0
13 Jun 2022
Stochastic Causal Programming for Bounding Treatment Effects
Stochastic Causal Programming for Bounding Treatment Effects
Kirtan Padh
Jakob Zeitler
David S. Watson
Matt J. Kusner
Ricardo M. A. Silva
Niki Kilbertus
CML
28
26
0
22 Feb 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect
  Estimation
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
Yi-Fan Zhang
Hanlin Zhang
Zachary Chase Lipton
Li Erran Li
Eric P. Xing
OODD
24
29
0
02 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
16
58
0
01 Feb 2022
Estimating Average Treatment Effects via Orthogonal Regularization
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt
Stefan Feuerriegel
CML
153
35
0
21 Jan 2021
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
223
719
0
12 May 2016
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