Research Group
Empirical Inference

The problems studied in the department can be subsumed under the heading of empirical inference. This term refers to inference performed on the basis of empirical data.

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The problems studied in the department can be subsumed under the heading of empirical inference, i.e., inference performed on the basis of empirical data. This includes inductive learning (estimation of models such as functional dependencies that generalize to novel data sampled from the same underlying distribution), or the inference of causal structures from statistical data (leading to models that provide insight into the underlying mechanisms, and make predictions about the effect of interventions). Likewise, the type of empirical data can vary, ranging from biomedical measurements to astronomical observations. Our department is conducting theoretical, algorithmic, and experimental studies to advance study of empirical inference.

People

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Luis Bauer

Collaborator
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Michel Besserve

Senior Research Scientist
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Karin Bierig

Research Technician
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Dieter Büchler

Research Group Leader
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Zhijing Jin

Research Scientist
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Jakob Macke

Senior Research Scientist
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Georg Martius

Senior Research Scientist
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Moritz Miller

Collaborator
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Patrik Reizinger

  • Ph. D. Student
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Farrah Hope Weinand

Personal Assistant to Prof. Schölkopf
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Franziska Wilke

Lab Coordinator
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Tim Xiao

Collaborator