A Learning Theory for Bilevel Optimization in Machine Learning via RKHS
Speaker: Michael N. Arbel (THOTH Team, INRIA Grenoble - Rhône-Alpes, France)
Date / Time: Thursday, February 13, 2025 / 15:30 (Ankara, Turkey)
Place: Follow the Link for Online Participation (please self-register first, if necessary)
Abstract: TBA
Biography
Michael N. Arbel is a Research Scientist (Chargé de recherche) at INRIA Grenoble - Rhône-Alpes, THOTH team. Before that, he was a Starting Research Fellow at the same team working with Julien Mairal. He completed his PhD in 2021 at the Gatsby Computational Neuroscience Unit of University College London under the supervision of Arthur Gretton. Even before that, he graduated from Ecole polytechnique with a focus in Applied Mathematics and obtained a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA) from ENS Paris-Saclay. He also worked as a Computer Vision Engineer at Prophesee where he developed tracking algorithms based on signals from neuromorophic cameras.
His research interests include Unsupervised Representation Learning, Non-convex optimization for Machine Learning and High Dimensional Sampling. He finds problems arising from natural sciences and physics to be a great source of inspiration and a good way to find a balance between theory and practice.