Guest

Theme

Starting your chat with Bernhard Schölkopf…

ABOUT

BS

Bernhard Schölkopf

b. 1968

View full profile →

Bernhard Schölkopf (b. 1968) is a German computer scientist and director at the Max Planck Institute for Intelligent Systems, known for pioneering work in kernel methods, causal inference, and machine learning. He co-developed the support vector machine and has shaped modern statistical learning theory with a focus on causality and robustness.

Computer Science

WORKS

Learning with Kernels (2002)
Causal Inference in Statistics: A Primer (2016, with Pearl and others)
Elements of Causal Inference (2017, with Janzing and others)
Support Vector Machines and Kernel Methods (1998, tutorial)
A Kernel Two-Sample Test (2012, with Gretton and others)
Causal Generative Neural Networks (2020, with Besserve and others)

0 discussions