Online learning of smooth functions on $\mathbb{R}$
arXiv:2604.03525v1 Announce Type: new
Abstract: We study adversarial online learning of real-valued functions on $\mathbb{R}$. In each round the learner is queried at $x_t\in\mathbb{R}$, predicts $\hat y_t$, and then observes the true value $f(x_t)$; …