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2010.12618
Cited By
Counterfactual Representation Learning with Balancing Weights
23 October 2020
Serge Assaad
Shuxi Zeng
Chenyang Tao
Shounak Datta
Nikhil Mehta
Ricardo Henao
Fan Li
Lawrence Carin
CML
OOD
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Papers citing
"Counterfactual Representation Learning with Balancing Weights"
18 / 18 papers shown
Title
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
Hangtao Zhang
Zhe Li
Kaipeng Zhang
31
0
0
26 Apr 2025
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
Weilin Chen
Ruichu Cai
Zeqin Yang
Jie Qiao
Yuguang Yan
Zijian Li
Zhifeng Hao
CML
44
7
0
06 May 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
Yoichi Chikahara
Kansei Ushiyama
39
0
0
26 Apr 2024
Defining Expertise: Applications to Treatment Effect Estimation
Alihan Huyuk
Qiyao Wei
Alicia Curth
M. Schaar
CML
40
2
0
01 Mar 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
CML
32
9
0
19 Nov 2023
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
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
Alicia Curth
M. Schaar
CML
29
3
0
23 Feb 2023
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
36
11
0
07 Nov 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica
M. Schaar
OOD
CML
30
20
0
08 Oct 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
Ruichu Cai
Weilin Chen
Zeqin Yang
Shu Wan
Chen Zheng
Xiaoqing Yang
Jiecheng Guo
CML
BDL
40
12
0
09 Aug 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Jonathan Crabbé
Alicia Curth
Ioana Bica
M. Schaar
CML
22
16
0
16 Jun 2022
Is More Data All You Need? A Causal Exploration
Athanasios Vlontzos
Hadrien Reynaud
Bernhard Kainz
CML
29
2
0
06 Jun 2022
DÁRTAGNAN: Counterfactual Video Generation
Hadrien Reynaud
Athanasios Vlontzos
Mischa Dombrowski
Ciarán M. Gilligan-Lee
A. Beqiri
Paul Leeson
Bernhard Kainz
VGen
CML
MedIm
30
19
0
03 Jun 2022
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Alicia Curth
Changhee Lee
M. Schaar
CML
27
29
0
26 Oct 2021
Estimating Categorical Counterfactuals via Deep Twin Networks
Athanasios Vlontzos
Bernhard Kainz
Ciarán M. Gilligan-Lee
OOD
CML
BDL
26
16
0
04 Sep 2021
Learning from Counterfactual Links for Link Prediction
Tong Zhao
Gang Liu
Daheng Wang
Wenhao Yu
Meng Jiang
CML
OOD
28
93
0
03 Jun 2021
Robust Orthogonal Machine Learning of Treatment Effects
Yiyan Huang
Cheuk Hang Leung
Qi Wu
Xing Yan
OOD
CML
16
0
0
22 Mar 2021
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
719
0
12 May 2016
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