Causal Transformer for Estimating Counterfactual Outcomes

14 April 2022

Papers citing "Causal Transformer for Estimating Counterfactual Outcomes"

21 / 21 papers shown

Title
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer Minh Hoang Nguyen Linh Le Pham Van Thommen George Karimpanal Sunil Gupta Hung Le OffRL LRM 37 0 0 14 May 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 53 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 40 0 0 08 Jul 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time Dennis Frauen Konstantin Hess Stefan Feuerriegel 37 5 0 07 Jul 2024
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes Hong Xiong Feng Wu Leon Deng Megan Su Li-wei H. Lehman AI4CE 33 2 0 08 Jun 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 38 6 0 12 Dec 2023
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise Augusto Santos Diogo Rente Rui Seabra José M. F. Moura 19 4 0 10 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
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning Chuizheng Meng Yihe Dong Sercan Ö. Arik Yan Liu Tomas Pfister CML AI4TS 29 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 71 2 0 16 Oct 2023
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting Seunghyun Lee D. Lee Sujeong Im N. Kim Sung-Min Park 27 11 0 01 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 31 13 0 01 Feb 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Dynamic Survival Transformers for Causal Inference with Electronic Health Records P. Chatha Yixin Wang Zhenke Wu Jeffrey Regier CML 28 1 0 25 Oct 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 26 3 0 23 Sep 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 19 25 0 02 Mar 2022
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies Milan Kuzmanovic Tobias Hatt Stefan Feuerriegel CML 50 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 169 3,900 0 14 Dec 2020
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016