Peer‐Timo Bremer

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis

2019 · arXiv (Cornell University)

This paper provides a general framework to study the effect of sampling properties of training data on the generalization error of the learned machine learning (ML) models. Specifically, we propose a new spectral analysis of …

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

With rapid adoption of deep learning in critical applications, the question of when and how much to trust these models often arises, which drives the need to quantify the inherent uncertainties. While identifying all sources …