Bernhard Schölkopf

Bernhard Schölkopf directs the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems and is associated with the ELLIS Institute Tübingen. His research helped establish kernel methods as a central approach to machine learning. His publications include Learning with Kernels and influential work on support-vector methods and nonlinear component analysis. His work also examines causal learning and representations, connecting mathematical learning foundations with questions of generalisation and scientific understanding.

Learning Causes, Not Just Correlations

Causal machine learning and representations