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Publication search results
found 89 matches
- 2024
- Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging 43(8): 2778-2789 (2024) - Allen Tran, Aurélien Bibaut, Nathan Kallus:
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments. ICML 2024 - Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang:
Estimating Individual Causal Treatment Effect by Variable Decomposition. IJCNN 2024: 1-10 - Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen:
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. KDD 2024: 4619-4630 - Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill:
Estimating the Causal Treatment Effect of Unproductive Persistence. LAK 2024: 843-849 - Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM 2024: 289-297 - Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. WWW 2024: 4607-4617 - Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy:
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach. CoRR abs/2401.00781 (2024) - Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR abs/2401.06557 (2024) - Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. CoRR abs/2403.00178 (2024) - Roger Pros, Jordi Vitrià:
Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation. CoRR abs/2404.12238 (2024) - Demetrios Papakostas, Andrew Herren, P. Richard Hahn, Francisco Castillo:
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation. CoRR abs/2405.03130 (2024) - Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen:
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. CoRR abs/2407.01004 (2024) - Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel:
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR abs/2407.03094 (2024) - 2023
- Susanne Dandl:
Causality concepts in machine learning: heterogeneous treatment effect estimation with machine learning & model interpretation with counterfactual and semi-factual explanations. Ludwig Maximilian University of Munich, Germany, 2023 - Asher Wasserman, Al Musella, Mark Shapiro, Jeff Shrager:
Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registry. Artif. Intell. Medicine 135: 102450 (2023) - Benedikt Langenberger, Viktoria Steinbeck, Lukas Schöner, Reinhard Busse, Christoph Pross, David Kuklinski:
Exploring treatment effect heterogeneity of a PROMs alert intervention in knee and hip arthroplasty patients: A causal forest application. Comput. Biol. Medicine 163: 107118 (2023) - Bella Vakulenko-Lagun, Colin G. Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark W. Albers, Sudeshna Das:
causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data. Comput. Methods Programs Biomed. 242: 107819 (2023) - Wouter Verbeke, Diego Olaya, Marie-Anne Guerry, Jente Van Belle:
To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates. Eur. J. Oper. Res. 305(2): 838-852 (2023) - Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar:
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. 4(2): 15:1-15:29 (2023) - Gino Tesei, Stefanos Giampanis, Jingpu Shi, Beau Norgeot:
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation. J. Biomed. Informatics 140: 104339 (2023) - Juan Chen, Yingchun Zhou:
A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments. J. Multivar. Anal. 197: 105207 (2023) - Ashwini Venkatasubramaniam, Bilal A. Mateen, Beverley M. Shields, Andrew T. Hattersley, Angus G. Jones, Sebastian J. Vollmer, John M. Dennis:
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine. BMC Medical Informatics Decis. Mak. 23(1): 110 (2023) - Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Causal Optimal Transport for Treatment Effect Estimation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4083-4095 (2023) - Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus:
Stochastic Causal Programming for Bounding Treatment Effects. CLeaR 2023: 142-176 - Lars van der Laan, Ernesto Ulloa-Pérez, Marco Carone, Alex Luedtke:
Causal Isotonic Calibration for Heterogeneous Treatment Effects. ICML 2023: 34831-34854 - Erik Sverdrup, Yifan Cui:
Proximal Causal Learning of Conditional Average Treatment Effects. ICML 2023: 33285-33298 - Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song:
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. ICML 2023: 36714-36747 - Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li:
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. KDD 2023: 4584-4594 - Erik Sverdrup, Yifan Cui:
Proximal Causal Learning of Heterogeneous Treatment Effects. CoRR abs/2301.10913 (2023)
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