Speaker: Arthur Gretton (Gatsby Computational Neuroscience Unit, Centre for Computational Statistics and Machine Learning, University College London (UCL), UK)

Date / Time: Tuesday, January 14, 2025 / 15:30 (Ankara, Turkey)

Place: Follow the Link for Online Participation (please self-register first, if necessary)

Abstract: TBA

    Biography

    Arthur Gretton is a Professor with the Gatsby Computational Neuroscience Unit; director of the Centre for Computational Statistics and Machine Learning (CSML) at UCL; and Research Scientist at Google Deepmind. He received degrees in Physics and Systems Engineering from the Australian National University, and a PhD with Microsoft Research and the Signal Processing and Communications Laboratory at the University of Cambridge. He previously worked at the MPI for Biological Cybernetics, and at the Machine Learning Department, Carnegie Mellon University.

    Arthur’s recent research interests in machine learning include causal inference and representation learning, design and training of generative models (implicit: Wasserstein gradient flows, GANs; and explicit: energy-based models), and nonparametric hypothesis testing.

    He has been an associate editor at IEEE Transactions on Pattern Analysis and Machine Intelligence from 2009 to 2013, an Action Editor for JMLR since April 2013, an Area Chair for NeurIPS in 2008 and 2009, a Senior Area Chair for NeurIPS in 2018 and 2021, an Area Chair for ICML in 2011 and 2012, a Senior Area Chair for ICML in 2022, a member of the COLT Program Committee in 2013, and a member of Royal Statistical Society Research Section Committee since January 2020. Arthur was program chair for AISTATS in 2016 (with Christian Robert), tutorials chair for ICML 2018 (with Ruslan Salakhutdinov), workshops chair for ICML 2019 (with Honglak Lee), program chair for the Dali workshop in 2019 (with Krikamol Muandet and Shakir Mohammed), and co-organiser of the Machine Learning Summer School 2019 in London (with Marc Deisenroth).