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Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets
This paper develops learning-augmented algorithms for energy trading in volatile electricity markets.
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
This paper leverages machine-learned predictions to design competitive algorithms for online conversion problems with the goal of improving the competitive ratio when predictions are accurate (i. e., consistency), while also guaranteeing a worst-case competitive ratio regardless of the prediction quality (i. e., robustness).
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