Higher-Arity PAC Learning and New VC Dimension Theory Unveiled

A new preprint (arXiv:2010.00726) extends VC dimension to VC_n and shows bounded VC_n characterizes PAC_n learning for product measures. Published Oct 2025. Read more: getnews.me/higher-arity-pac-learnin... #vcdimension #paclearning #higherarity

Adapting Stochastic Online Learning for Random Order Data

The study shows that in the random‑order model, learnability aligns with VC dimension instead of Littlestone dimension, and the proposed template reduces delay dependence in regret bounds. getnews.me/adapting-stochastic-onli... #randomorder #vcdimension