7 citations · 8 across the 6 of their papers we have counts for
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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…
cs.LG2021
Predictive machine learning for prescriptive applications: a coupled training-validating approach
Ebrahim Mortaz, Alexander Vinel
In this research we propose a new method for training predictive machine learning models for prescriptive applications. This approach, which we refer to as coupled validation, is b…
cs.LG2021★ 7 cited
Benchmarking Graph Neural Networks on Link Prediction
Xing Wang, Alexander Vinel
In this paper, we benchmark several existing graph neural network (GNN) models on different datasets for link predictions. In particular, the graph convolutional network (GCN), Gra…