Drift-Aware Uncertainty Quantification via a Functional Spectral-Newton Method

Thiago Ramos, Alek Fröhlich, Daniel Perazzo, Massimiliano Pontil

Track: Main Track, Up to 8 pages, excluding references

Anonymization: This submission has been anonymized for double-blind review via the removal of identifying information such as names, affiliations, and identifying URLs.

Attendance: Yes, the presenting author will attend ICLR in person only if the paper is accepted to this workshop.

Presenter: ~Thiago_Ramos1

Serve As Reviewer: ~Thiago_Ramos1

Submission Number: 113