4 citations · 6 across the 3 of their papers we have counts for
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cs.LG2023
Adversarial Distribution Balancing for Counterfactual Reasoning
Stefan Schrod, Fabian Sinz, Michael Altenbuchinger
The development of causal prediction models is challenged by the fact that the outcome is only observable for the applied (factual) intervention and not for its alternatives (the s…
cs.LG2023★ 2 cited
FACT: Federated Adversarial Cross Training
Stefan Schrod, Jonas Lippl, Andreas Schäfer +1
Federated Learning (FL) facilitates distributed model development to aggregate multiple confidential data sources. The information transfer among clients can be compromised by dist…