Exploring Machine Learning Needs Mathematical Optimization With Prof Thibaut Vidal
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- Speaker1: Marcela Galvis Restrepo, Copenhagen Business School, Denmark. Improving the interpretability and fairness of ...
- Machine Learning NeEDS Mathematical Optimization
- Part of Discrete
- Abstract: In earlier work, we defined fraud as an uncommon, well-considered, imperceptibly concealed, time-evolving and often ...
- In this lecture I give an overview of the goals, topics, and structure to be presented in the
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Abstract: Counterfactual explanations are usually generated through heuristics that are sensitive to the search's initial conditions. Machine Learning NeEDS Mathematical Optimization Abstract: Adversarial Abstract: The inability of many “black box” prediction models to explain the decisions made, have been widely acknowledged.
Abstract: As automated data analysis supplements and even replaces human supervision in consequential decision-making (e.g., ...
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