Furthermore, since only the last layer─the GP layer─is treated stochastically, the computational cost is significantly lower than that of fully Bayesian neural networks ... Recent advancements in ...

The information age is built on mathematics. From finding the best route between two points, predicting the future load on a ...

The Midwest Optimization & Statistical Learning Conference is a biannual conference series that brings together leaders in the field of optimization and machine learning to present and discuss cutting ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Walmart is preparing for sweeping changes in the way consumers shop, investigating how to make products appealing not just to human consumers, but also to the AI agents that will one day shop on ...

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional ... Combined with the convex optimization strategy, the block coordinate descent (BCD) method is used to iteratively ...