You are most cordially invited to the ICTP Colloquium by Prof. John S. Shawe-Taylor, University College London, on "Statistical Learning Theory for Modern Machine Learning".

The Colloquium will take place (in presence) on Friday 22 September 2023 at 14:00 hrs in the Budinich Lecture Hall.

Biosketch: John S Shawe-Taylor is a professor at University College London (UK) and Director of the Centre for Computational Statistics and Machine Learning at UCL. His main research area is Statistical Learning Theory. His contributions range from Neural Networks, to Machine Learning, to Graph Theory.  He has coordinated a number of European wide projects investigating the theory and practice of Machine Learning, including the NeuroCOLT projects. He is currently the scientific coordinator of a Framework VI Network of Excellence in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) involving 57 partners and director of IRCAI, a UNESCO category 2 Institute on artificial intelligence based in Ljubljana 

Abstract: Machine learning aims to identify properties of a distribution from a set of examples. The presentation introduces the statistical learning framework for analysing this task, focussing on the PAC-Bayes approach that draws on Bayesian inference and Probably Approximately Correct learning. The application of this analysis to modern machine learning approaches including Kernel methods and deep learning will be presented, highlighting successes and ongoing shortcomings of these results.

More information can be found at the following link: https://indico.ictp.it/event/10444

The Colloquium will be livestreamed on www.ictp.it/livestream

Light refreshments will be served on the Leonardo Building Terrace at the end of the talk.

Looking forward to your participation.