description [ICML 2026][Reinforcement Learning][Two-timescale] This paper establishes the stability and almost sure (a.s.) convergence of general two-timescale stochastic approximation (SA) under ...

Approximation theory in variable exponent Lebesgue spaces explores how well functions can be approximated when the underlying integrability exponent varies pointwise. Unlike classical Lᵖ spaces with a ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...

This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following recent ...

“Table for Two” is a collection of six stories and a novella set in two very different cultural capitals. By Hamilton Cain Hamilton Cain is a book critic and the author of “This Boy’s Faith: Notes ...

In economics, demand is a key concept when it comes to understanding market dynamics and consumer behavior. It refers to the relationship between the quantity of a good or service that consumers are ...

Correlation is a statistical measure that represents the strength and direction of the relationship between two variables. When analyzing data, it’s often useful to determine if a connection exists ...

Abstract: The canonical representation of piecewise-linear functions is considered as a universal approximation scheme of multivariate functions. Meanwhile, two universal approximation schemes in ...