Invariant Representation Learning for Treatment Effect Estimation

Invariant Representation Learning for Treatment Effect Estimation

24 November 2020

Papers citing "Invariant Representation Learning for Treatment Effect Estimation"

14 / 14 papers shown

Title
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 84 0 0 25 Nov 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 34 1 0 13 Jun 2024
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi S. Saria David M. Blei OOD CML 32 7 0 19 Oct 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 23 6 0 02 Jul 2023
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 38 8 0 31 May 2023
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
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 18 11 0 29 May 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 60 32 0 30 Jan 2022
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 82 17 0 24 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 80 0 08 Sep 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 36 12 0 22 Jun 2021
On Invariance Penalties for Risk Minimization Kia Khezeli Arno Blaas Frank Soboczenski N. Chia John Kalantari 20 16 0 17 Jun 2021
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 43 64 0 09 Feb 2020