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Causal World Models
Bernhard Schölkopf
Mon Dec 13 12:30 PM -- 01:00 PM (PST) @
Author Information
Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)
Bernhard Scholkopf received degrees in mathematics (London) and physics (Tubingen), and a doctorate in computer science from the Technical University Berlin. He has researched at AT&T Bell Labs, at GMD FIRST, Berlin, at the Australian National University, Canberra, and at Microsoft Research Cambridge (UK). In 2001, he was appointed scientific member of the Max Planck Society and director at the MPI for Biological Cybernetics; in 2010 he founded the Max Planck Institute for Intelligent Systems. For further information, see www.kyb.tuebingen.mpg.de/~bs.
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2020 Poster: Learning Kernel Tests Without Data Splitting »
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2019 : Bernhard Schölkopf »
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2019 : Poster Session »
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2019 Poster: Kernel Stein Tests for Multiple Model Comparison »
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2018 : Datasets and Benchmarks for Causal Learning »
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2017 : Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation »
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2017 Poster: Avoiding Discrimination through Causal Reasoning »
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2016 Poster: Consistent Kernel Mean Estimation for Functions of Random Variables »
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2014 Poster: Kernel Mean Estimation via Spectral Filtering »
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