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An Adaptive Kernel Approach to Federated Learning of Heterogeneous
  Causal Effects

An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects

1 January 2023
Thanh Vinh Vo
Arnab Bhattacharyya
Young Lee
Tze-Yun Leong
    FedML
ArXivPDFHTML

Papers citing "An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects"

13 / 13 papers shown
Title
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications
Haoyang Li
Jie Xu
Kyra Gan
Fei Wang
Chengxi Zang
FedML
CML
33
0
0
04 May 2025
Drift-Aware Federated Learning: A Causal Perspective
Yunjie Fang
Sheng Wu
Tao Yang
X. Wu
Bo Hu
FedML
55
0
0
13 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
Changchang Yin
Hong-You Chen
Wei-Lun Chao
Ping Zhang
CML
63
0
0
06 Mar 2025
Multi-Source Conformal Inference Under Distribution Shift
Multi-Source Conformal Inference Under Distribution Shift
Yi Liu
Alexander W. Levis
Sharon-Lise T. Normand
Larry Han
OOD
29
7
0
15 May 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Tianyu Guo
Sai Praneeth Karimireddy
Michael I. Jordan
FedML
28
1
0
24 Apr 2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
Xu Yang
Jiyuan Feng
Songyue Guo
Ye Wang
Ye Ding
Binxing Fang
Qing Liao
FedML
37
1
0
14 Mar 2024
Federated Learning for Estimating Heterogeneous Treatment Effects
Federated Learning for Estimating Heterogeneous Treatment Effects
Disha Makhija
Joydeep Ghosh
Yejin Kim
CML
FedML
33
2
0
27 Feb 2024
Conditional Generative Models are Sufficient to Sample from Any Causal
  Effect Estimand
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
Md Musfiqur Rahman
Matt Jordan
Murat Kocaoglu
DiffM
CML
30
0
0
12 Feb 2024
Disentangle Estimation of Causal Effects from Cross-Silo Data
Disentangle Estimation of Causal Effects from Cross-Silo Data
Yuxuan Liu
Haozhao Wang
Shuang Wang
Zhiming He
Wenchao Xu
Jialiang Zhu
Fan Yang
CML
25
2
0
04 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional
  Causal Inference
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
Md Musfiqur Rahman
Murat Kocaoglu
OOD
35
2
0
02 Jan 2024
Federated Domain Generalization: A Survey
Federated Domain Generalization: A Survey
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
42
29
0
02 Jun 2023
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects
  Across Studies Using Statistical Machine Learning
Multi-Study R-Learner for Estimating Heterogeneous Treatment Effects Across Studies Using Statistical Machine Learning
Cathy Shyr
Boyu Ren
Prasad Patil
Giovanni Parmigiani
CML
24
1
0
01 Jun 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across
  Diverse Biomedical Data Sources
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
54
14
0
10 May 2023
1