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2011.12379
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Invariant Representation Learning for Treatment Effect Estimation
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
24 November 2020
Claudia Shi
Victor Veitch
David M. Blei
OOD
CML
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Papers citing
"Invariant Representation Learning for Treatment Effect Estimation"
19 / 19 papers shown
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yaroslav Kivva
S. Akbari
Saber Salehkaleybar
Negar Kiyavash
CML
322
2
0
13 Jun 2025
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
Zheng Li
Feng Xie
Xichen Guo
Yan Zeng
Hao Zhang
Zhi Geng
CML
784
0
0
25 Nov 2024
Testing Generalizability in Causal Inference
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Daniel de Vassimon Manela
Linying Yang
Robin J. Evans
387
0
0
05 Nov 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu
Yinhan He
Jing Ma
Mengxuan Hu
Sheng Li
Jundong Li
CML
347
12
0
20 Jun 2024
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang
Gargi Balasubramaniam
Haozhe Si
Bo Li
Han Zhao
OOD
284
2
0
02 Nov 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
317
11
0
02 Jul 2023
An Invariant Learning Characterization of Controlled Text Generation
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Carolina Zheng
Claudia Shi
Keyon Vafa
Amir Feder
David M. Blei
OOD
380
11
0
31 May 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers
Machine-mediated learning (ML), 2023
Tomoharu Iwata
Yoichi Chikahara
CML
FedML
307
3
0
19 May 2023
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Neural Information Processing Systems (NeurIPS), 2022
Ioana Bica
M. Schaar
OOD
CML
231
28
0
08 Oct 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
Neural Networks (NN), 2022
Ruichu Cai
Weilin Chen
Zeqin Yang
Shu Wan
Chen Zheng
Xiaoqing Yang
Jiecheng Guo
CML
BDL
371
12
0
09 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains
Xinlin Leng
Xiaoying Tang
Yatao Bian
AI4CE
OOD
172
1
0
28 Jul 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage
Alexis Bellot
Anish Dhir
G. Prando
CML
228
12
0
29 May 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
International Conference on Machine Learning (ICML), 2022
Haoxiang Wang
Haozhe Si
Yue Liu
Han Zhao
OOD
389
38
0
30 Jan 2022
Optimization-based Causal Estimation from Heterogenous Environments
Journal of machine learning research (JMLR), 2021
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
435
21
0
24 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Sai Li
CML
313
91
0
08 Sep 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Abhin Shah
Karthikeyan Shanmugam
Kartik Ahuja
CML
198
13
0
22 Jun 2021
On Invariance Penalties for Risk Minimization
Kia Khezeli
Arno Blaas
Frank Soboczenski
N. Chia
John Kalantari
227
16
0
17 Jun 2021
Causal Effect Inference for Structured Treatments
Neural Information Processing Systems (NeurIPS), 2021
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
CML
550
56
0
03 Jun 2021
Matched sample selection with GANs for mitigating attribute confounding
Chandan Singh
Guha Balakrishnan
Pietro Perona
GAN
228
7
0
24 Mar 2021
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