Abstract: The paper studies discrete-time statistical filtering problems with the goal to minimize expected total costs. Such problems are usually defined by pairs of stochastic equations and by ...

Official implementation of the paper: "CONSTRAINT MATTERS: MULTI-MODAL REPRESENTATION FOR REDUCING MIXED-INTEGER LINEAR PROGRAMMING", accepted by ICLR 2026. Model reduction is a powerful way to ...

The surge in memory prices is squeezing margins at Nintendo. With softening demand leading to a decision to pare back console production, Nintendo lacks pricing elasticity when it needs it the most.

So, you want to get better at Python? That’s cool. There are a ton of ways to learn, but honestly, just messing around with code and seeing how things work is a pretty solid approach. This article is ...

Abstract: This study utilizes machine learning and optimization techniques to lower energy costs in factory operations. By incorporating weather forecast data and machine learning techniques, we aim ...