Please note: This seminar will be given online.
Research Group Leader, Empirical Inference Department
Max Planck Institute for Intelligent Systems
Society is made up of a set of diverse individuals, demographic groups, and institutions. Learning and deploying algorithmic models across these heterogeneous environments face a set of various trade-offs. In order to develop reliable machine learning algorithms that can interact successfully with the real world, it is necessary to deal with such heterogeneity.