Five Below Partners with Invent.ai to Roll Out AI-Driven Inventory Optimization Retailer rolls out AI forecasting in 90 days across 1,800 stores.

Synergizing derivative-free optimization via model-free RL and gradient calculation via implicit function differentiation can create new avenues for scalable and efficient solution of bilevel problems ...

Branko Grünbaum. Convex Polytopes. GTM 221. 2003 (second edition). Grigoriy Blekherman, Pablo A. Parrilo, Rekha Thomas. Semidefinite Optimization and Convex Algebraic Geometry. MPS-SIAM Series (Book ...

In 'Optimal Illusions' UC Berkeley applied mathematician Coco Krumme explores our historical fascination with process optimization and how that pursuit has led to unintended is in the systems we ...

In recent years, convex optimization has become a computational tool of central importance in engineering, thanks to its ability to solve very large, practical engineering problems reliably and ...

In recent years, convex optimization has become a computational tool of central importance in engineering, thanks to it's ability to solve very large, practical engineering problems reliably and ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...