2024
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
ICML 2024poster
This work considers the fundamental problem of learning an unknown object from training data using a given model class. We introduce a framework that allows for objects in arbitrary Hilbert spaces, general types of (random) linear measurements as training data and general types of nonlinear model cl…