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20122023
most citedAn Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects

7 citations · 16 across the 13 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

stat.ME2021★ 3 cited

Federated Estimation of Causal Effects from Observational Data

Thanh Vinh Vo, Trong Nghia Hoang, Young Lee +1

Many modern applications collect data that comes in federated spirit, with data kept locally and undisclosed. Till date, most insight into the causal inference requires data to be…

cs.LG2021

Adaptive Multi-Source Causal Inference

Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang +1

Data scarcity is a tremendous challenge in causal effect estimation. In this paper, we propose to exploit additional data sources to facilitate estimating causal effects in the tar…