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MeV-UED has revolutionized the study of ultrafast structural dynamics, and efficient online beam tuning strategies are highly desired. Multi-objective Bayesian active learning has been successfully implemented at the SLAC MeV-UED facility, allowing for faster and more comprehensive optimization of electron beam properties. This methodology can be applied to other experimental scenarios with high dimensional, nonlinear, and correlated systems.