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08/24/2023
Federated Learning of Causal Effects from Incomplete Observational Data
Decentralized and incomplete data sources are prevalent in real-world ap...
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01/01/2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
We propose a new causal inference framework to learn causal effects from...
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05/31/2021
Adaptive Multi-Source Causal Inference
Data scarcity is a tremendous challenge in causal effect estimation. In ...
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05/31/2021
Federated Estimation of Causal Effects from Observational Data
Many modern applications collect data that comes in federated spirit, wi...
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04/24/2020