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ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.
Walter Nelson
PhD
Institute of Science and Technology Austria (ISTA)
Learning and exploiting causal relationships: from theory to application
Machine learning models are increasingly deployed in complex, high-stakes environments. Imbuing models with the ability to represent the causal structure of such complex environments has the potential to improve the quality of predictions, enhance the transparency of otherwise black-box models, and enable models to be deployed where it might otherwise be impossible. Fortunately, with complexity comes information, and we postulate that this information can be exploited by our models to learn useful causal relations with minimal human supervision. My interests lie in algorithms for learning and using such causal relations, with a particular focus on models that are practical for application in domains such as biomedicine.
Track:
Academic Track
Research
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