Adversarial Balancing-based Representation Learning for Causal Effect
Inference with Observational Data

Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data

30 April 2019

Alexander G. Nikolaev

Mykola Pechenizkiy

Papers citing "Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data"

14 / 14 papers shown

Title
Defining Expertise: Applications to Treatment Effect Estimation Alihan Huyuk Qiyao Wei Alicia Curth M. Schaar CML 40 2 0 01 Mar 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi Martin Ester CML OOD 40 3 0 17 Dec 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 32 9 0 19 Nov 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng H. Sun BDL CML 19 0 0 02 Aug 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 41 11 0 30 Jan 2023
Deep Causal Learning for Robotic Intelligence Yong Li CML 37 5 0 23 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 43 32 0 30 Sep 2022
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects Guanglin Zhou Lina Yao Xiwei Xu Chen Wang Liming Zhu OOD CML BDL 30 2 0 13 Aug 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 35 69 0 21 Feb 2022
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation Yi-Fan Zhang Hanlin Zhang Zachary Chase Lipton Li Erran Li Eric P. Xing OODD 24 29 0 02 Feb 2022
Cycle-Balanced Representation Learning For Counterfactual Inference Guanglin Zhou L. Yao Xiwei Xu Chen Wang Liming Zhu CML OOD 14 12 0 29 Oct 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