Exploring Machine Learning Needs Mathematical Optimization With Prof Thibaut Vidal
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- Machine Learning NeEDS Mathematical Optimization
- Speaker1: Marcela Galvis Restrepo, Copenhagen Business School, Denmark. Improving the interpretability and fairness of ...
- Abstract: In this talk we initially analyze null hypothesis statistical testing, the use of p-values and the controversy around them.
- Machine Learning NeEDS Mathematical Optimization
- Abstract: With widespread use of
In-Depth Information on Machine Learning Needs Mathematical Optimization With Prof Thibaut Vidal
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: In earlier work, we defined fraud as an uncommon, well-considered, imperceptibly concealed, time-evolving and often ...
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