Invariant Representation Learning for Treatment Effect Estimation

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Invariant Representation Learning for Treatment Effect Estimation

24 November 2020

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Papers citing "Invariant Representation Learning for Treatment Effect Estimation"

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Title
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments Yaroslav Kivva S. Akbari Saber Salehkaleybar Negar Kiyavash CML 24 0 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 196 0 0 25 Nov 2024
Testing Generalizability in Causal Inference Daniel de Vassimon Manela Linying Yang Robin J. Evans 78 0 0 05 Nov 2024
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 70 22 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 94 12 0 09 Aug 2022
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 66 11 0 29 May 2022
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 123 18 0 24 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 73 84 0 08 Sep 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 69 13 0 22 Jun 2021
On Invariance Penalties for Risk Minimization Kia Khezeli Arno Blaas Frank Soboczenski N. Chia John Kalantari 53 16 0 17 Jun 2021
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 262 51 0 03 Jun 2021
Matched sample selection with GANs for mitigating attribute confounding Chandan Singh Guha Balakrishnan Pietro Perona GAN 69 6 0 24 Mar 2021