This workshop aims at encouraging communication between researchers working on fundamental aspects of machine learning. Topics include, but are not limited to, Gaussian processes, kernel methods, probabilistic numerics, interpretability, optimization, and deep learning.
Organizers : Motonobu Kanagawa (EURECOM), Arthur Gretton (Univ. College London) & Philipp Hennig (Univ. of Tuebingen & Max Planck Institute for Intelligent Sytems)