Machine Learning approaches to solve pricing and category management problems in the retail industry

Time inconsistencies due to simplifications in stochastic energy planning: the hidden cost and distortions

Faces of convex sets: dimensions and regularity

A Data-Driven Approach for a Class of Stochastic Dynamic Optimization Problems

V-Polyhedral Disjunctive Cuts

Optimization and Stochastic Modeling in Energy Planning Problems

Lower Bounds for Parallel and Randomized Convex Optimization

Computational Aspects of Bayesian Solution Estimators in Stochastic Optimization

La revolución de los productos de datos

Set-based Lagrangean decomposition methods for mathematical programming