This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.

This is a repository associated with the paper "CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning" by Ben Adcock, Juan M. Cardenas, and Nick Dexter submitted at Sampling Theory and Applications (SampTa), also available at https://arxiv.org/abs/2208.12190

This is a repository associated with the paper "Near-optimal sampling strategies for multivariate function on general domains" by Ben Adcock and Juan M. Cardenas available at https://epubs.siam.org/doi/10.1137/19M1279459 and https://arxiv.org/abs/1908.01249