CWI Lectures on Machine Learning

This year, the CWI Lectures will be held on Thursday 23 November. The theme will be Machine Learning and the afternoon will be organized by CWI’s newly established Machine Learning group.

Speakers will include world-leading machine learning researchers:

Suchi Saria is professor at Johns Hopkins University. Even though she only obtained her Ph.D. (at Stanford) in 2011, her work has already attracted considerable attraction and honours. For example, in 2016 she has been selected as ‘one of Popular Science’s Brilliant 10′. She has also been named one of AI’s “ten to watch” by IEEE in 2014. She is, among many other things, known for successful applications of state-of-the-art theory in machine learning and statistics within the health domain.

Neil Lawrence is founder and director of Amazon Research Cambridge and professor at Sheffield University. He is a regular contributor to The Guardian where he writes about impact of machine learning technology to society.   He is former program chair of NIPS, the world’s main machine learning conference, and is founder of Data Science Africa. 

Max Welling is a research chair in Machine Learning at the University of Amsterdam.  He has secondary appointments at the University of California Irvine and at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of “Scyfer BV” a university spin-off in deep learning. Welling’s machine learning research labs are AMLAB and QUVA Lab.

Csaba Szepesvári is currently a Professor at the Department of Computing Science of the University of Alberta and a Principal Investigator of the Alberta Innovates Center for Machine Learning. He is best known for the UCT algorithm, which led to a leap in the performance of planning and search algorithms in many domains, in particular in computer go. His research interests include reinforcement learning, statistical learning theory and online learning.

More information about the programme will follow asap

Registration for the Lectures will open early September