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Statistical Relational AI

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If you have a question about this talk, please contact Martin Rudorfer.

Our minds make inferences that appear to go far beyond standard machine learning. Whereas people can learn richer representations and use them for a wider range of learning tasks, machine learning algorithms have been mainly employed in a stand-alone context, constructing a single function from a table of training examples. In this talk, I shall touch upon a view on machine learning and AI that can help capturing these human learning aspects by combining high-level languages and databases with statistical learning, optimisation, and deep learning. High-level features such as relations, quantifiers, functions, and procedures provide declarative clarity and succinct characterisations of the AI problem at hand. This helps reducing the cost of modelling and solving it. Most importantly, it puts the field of Systems AI into reach — the computational and mathematical modeling of complex AI systems consisting of different AI algorithms.

This talk is based on joint works with many people such as Carsten Binnig, Martin Grohe, Zoubin Ghahramani, Martin Mladenov, Alejandro Molina, Sriraam Natarajan, Robert Peharz, Cristopher Re, Karl Stelzner, Martin Trapp, Isabel Valera, and Antonio Vergari.

CV: Kristian Kersting is a Full Professor for AI and Machine Learning at the TU Darmstadt, Germany, and founding co-director of the Hessian Center for AI. After receiving his Ph.D. from the University of Freiburg, he was with the MIT , Fraunhofer IAIS , the University of Bonn, and the TU Dortmund. He is a EurAI and ELLIS Fellow, published more than 180 technical papers, and received the German AI Award as well as the EurAI Dissertation Award for the best AI Ph.D. thesis in Europe. He co-chaired ECML PKDD 2017 , 2020, and UAI 2017 .Kristian also co-authored a book on Statistical Relational AI and a co-edited a book on lifted probabilistic inference that will appear at MIT Press in 2021. To inform the broader society about AI, he co-edited one of the first German general introductory books on AI and started a monthly AI column in the German newspaper Die Welt.

This talk is part of the IRLab Seminars: Robotics, Computer Vision & AI series.

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