This is the second post (here’s the first one) about an approach to introducing the derivative to calculus students that is counter to what I’ve seen in textbooks and other traditional treatments of ...

This repository has the implementations of the article: Non Linear Compressive Reduced Basis Approximation for PDE’s Abstract: Linear model reduction techniques design offline low-dimensional ...

The Annals of Applied Probability, Vol. 31, No. 5 (October 2021), pp. 2244-2274 (31 pages) We provide an exhaustive treatment of linear-quadratic control problems for a class of stochastic Volterra ...

This is a preview. Log in through your library . Abstract Problems concerning approximation of real-valued continuous functions of a real variable by polynomials of ...

Over recent decades, approximation theory has evolved to incorporate sophisticated operator-based techniques that extend classical sampling methods. Central to these developments is the use of ...

We design a new provably efficient algorithm for episodic reinforcement learning with generalized linear function approximation. We analyze the algorithm under a new expressivity assumption that we ...