Jonas Latz

A Continuous-time Stochastic Gradient Descent Method for Continuous Data

2021 · arXiv (Cornell University)

Optimization problems with continuous data appear in, e.g., robust machine learning, functional data analysis, and variational inference. Here, the target function is given as an integral over a family of (continuously) indexed target functions - …

Deep Gaussian Process Priors for Bayesian Image Reconstruction

2024 · arXiv (Cornell University)

In image reconstruction, an accurate quantification of uncertainty is of great importance for informed decision making. Here, the Bayesian approach to inverse problems can be used: the image is represented through a random function that …