Estimating Average Treatment Effects via Orthogonal Regularization

21 January 2021

Papers citing "Estimating Average Treatment Effects via Orthogonal Regularization"

9 / 9 papers shown

Title
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis Hangtao Zhang Zhe Li K. Zhang 31 0 0 26 Apr 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 46 0 0 04 Oct 2024
Multiple Instance Learning for Uplift Modeling Yao Zhao Haipeng Zhang Shiwei Lyu Ruiying Jiang Jinjie Gu Guannan Zhang 20 2 0 15 Dec 2023
Deep Causal Learning for Robotic Intelligence Y. Li CML 32 5 0 23 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 31 11 0 07 Nov 2022
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information Yiyan Huang Cheuk Hang Leung Shumin Ma Qi Wu DongDong Wang Zhixiang Huang OOD CML 27 3 0 05 Sep 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 42 108 0 23 May 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 42 29 0 25 Feb 2022
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 215 719 0 12 May 2016