Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects
Estimation

Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

8 October 2022

Papers citing "Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation"

16 / 16 papers shown

Title
Testing Generalizability in Causal Inference Daniel de Vassimon Manela Linying Yang Robin J. Evans 33 0 0 05 Nov 2024
SPHINX: Structural Prediction using Hypergraph Inference Network Iulia Duta Pietro Liò 42 2 0 04 Oct 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments J. Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 45 3 0 04 Jun 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 39 0 0 28 Feb 2024
Federated Learning for Estimating Heterogeneous Treatment Effects Disha Makhija Joydeep Ghosh Yejin Kim CML FedML 43 2 0 27 Feb 2024
Disentangle Estimation of Causal Effects from Cross-Silo Data Yuxuan Liu Yining Qi Shuang Wang Zhiming He Wenchao Xu Jialiang Zhu Fan Yang CML 30 2 0 04 Jan 2024
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 29 0 0 06 Nov 2023
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning S. Wei Xiangrui Kong Á. Xavier Shixiang Zhu Yao Xie Feng Qiu 29 1 0 05 Oct 2023
RegBN: Batch Normalization of Multimodal Data with Regularization Morteza Ghahremani Christian Wachinger 28 6 0 01 Oct 2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning Rui Liu Yuanyuan Chen Anran Li Y. Ding Han Yu Cuntai Guan FedML 35 7 0 14 Aug 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 30 8 0 25 May 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers Tomoharu Iwata Yoichi Chikahara CML FedML 20 0 0 19 May 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Transfer Learning for Individual Treatment Effect Estimation Ahmed Aloui Juncheng Dong Cat P. Le Vahid Tarokh CML 53 2 0 01 Oct 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 177 50 0 03 Jun 2021