Nikola Sandrić

Rademacher learning rates for iterated random functions

2025 · arXiv (Cornell University)

Most existing literature on supervised machine learning assumes that the training dataset is drawn from an i.i.d. sample. However, many real-world problems exhibit temporal dependence and strong correlations between the marginal distributions of the data-generating …