There are 1 repository under rademacher-complexity topic.
Code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Paper Link: https://ieeexplore.ieee.org/document/8790341
Repository dealing with key concepts in Machine Learning
Codes and experiments for the paper "Learning Vector-valued Functions with Local Rademacher Complexity". Preprint.
Codes and experiments for "Multi-Class Learning: From Theory to Algorithm", published in NeurIPS 2018
Code for the paper "Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages", by Chloe Wohlgemuth, Cyrus Cousins, and Matteo Riondato, appearing in ACM KDD'21 and ACM TKDD'23
Codes and experiments for "Multi-Class Learning using Unlabeled Samples: Theory and Algorithm", published in IJCAI 2019