Quick Context: Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ...
Machine Learning Needs Mathematical Optimization With Dr Phebe Vayanos -
Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ... Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ...
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- Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions.
- Abstract: Data-driven predictive and prescriptive analytics tools are increasingly being used to assist decision-making in high ...
- Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ...
- Title: Tactical Planning under Imperfect Information: A Fast Matheuristic for Two-Stage Stochastic Programs Through Supervised ...
- Abstract: As automated data analysis supplements and even replaces human supervision in consequential decision-making (e.g., ...
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