Causal Transformer for Estimating Counterfactual Outcomes

Causal Transformer for Estimating Counterfactual Outcomes

14 April 2022

Valentyn Melnychuk

Stefan Feuerriegel

Papers citing "Causal Transformer for Estimating Counterfactual Outcomes"

15 / 15 papers shown

Title
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 56 0 0 10 Jan 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 46 0 0 04 Oct 2024
New User Event Prediction Through the Lens of Causal Inference H. Yuchi Shixiang Zhu Li Dong Yigit M. Arisoy Matthew C. Spencer 32 0 0 08 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 29 5 0 07 Jul 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure Zhiyue Zhang Yao Zhao Yan Xu 19 0 0 04 Apr 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Wentao Gao T. Le CML 36 6 0 12 Dec 2023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 27 9 0 19 Nov 2023
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning Chuizheng Meng Yihe Dong Sercan Ö. Arik Yan Liu Tomas Pfister CML AI4TS 16 0 0 01 Nov 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 58 2 0 16 Oct 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 26 11 0 07 Nov 2022
Dynamic Survival Transformers for Causal Inference with Electronic Health Records P. Chatha Yixin Wang Zhenke Wu Jeffrey Regier CML 16 1 0 25 Oct 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 16 25 0 02 Mar 2022
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies Milan Kuzmanovic Tobias Hatt Stefan Feuerriegel CML 42 21 0 06 Dec 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,855 0 14 Dec 2020
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 719 0 12 May 2016