3 papers
cs.LG2025
An Approximation Theory Perspective on Machine Learning
Hrushikesh N. Mhaskar, Efstratios Tsoukanis, Ameya D. Jagtap
A central problem in machine learning is often formulated as follows: Given a dataset , which is a sample drawn from an unknown probability distribution, th…
cs.LG2025
Active Learning Classification from a Signal Separation Perspective
Hrushikesh Mhaskar, Ryan O'Dowd, Efstratios Tsoukanis
In machine learning, classification is usually seen as a function approximation problem, where the goal is to learn a function that maps input features to class labels. In this pap…
math.FA2024
Stability of sorting based embeddings
Radu Balan, Efstratios Tsoukanis, Matthias Wellershoff
Consider a group of order acting unitarily on a real inner product space . We show that the sorting based embedding obtained by applying a general linear map $α: \mathbb…