3 papers
cs.LG2025
Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
Jayanta Mandi, Ali İrfan Mahmutoğulları, Senne Berden +1
Decision-focused learning (DFL) trains a machine learning (ML) model to predict parameters of an optimization problem, to directly minimize decision regret, i.e., maximize decision…
cs.LG2025
Solver-Free Decision-Focused Learning for Linear Optimization Problems
Senne Berden, Ali İrfan Mahmutoğulları, Dimos Tsouros +1
Mathematical optimization is a fundamental tool for decision-making in a wide range of applications. However, in many real-world scenarios, the parameters of the optimization probl…
math.OC2018
The Value of Multi-stage Stochastic Programming in Risk-averse Unit Commitment under Uncertainty
Ali Irfan Mahmutogullari, Shabbir Ahmed, Ozlem Cavus +1
Day-ahead scheduling of electricity generation or unit commitment is an important and challenging optimization problem in power systems. Variability in net load arising from the in…