2 papers
cs.LG2026
Decision-Value Attribution in Predict-then-Optimize Systems
Konstantinos Ziliaskopoulos, Alexander Vinel, Alice E. Smith
Predictive models are increasingly embedded in operational decision-making, yet standard explanation methods typically explain forecasts rather than the decisions those forecasts i…
math.OC2026
Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints
Konstantinos Ziliaskopoulos, Alexander Vinel
We consider Decision-Focused Federated Learning (DFFL), a predict-then-optimize setting in which multiple clients collaboratively train predictive models for downstream linear opti…