Exploring Machine Learning Needs Mathematical Optimization With Prof Nathan Kallus
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- Abstract: In the past decade, there has been an overwhelming acceptance for data analytics,
- Abstract: Advances in
- Abstract. This work develops a class of relaxations in between the big-M and
- Abstract: We present theoretical and computational results relating to a set of works where we apply random projection techniques ...
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Machine Learning NeEDS Mathematical Optimization Abstract: The fields of Speaker1: Marcela Galvis Restrepo, Copenhagen Business School, Denmark. Improving the interpretability and fairness of ... Machine Learning NeEDS Mathematical Optimization
Abstract: We give a tour through some random forests (RF) and, review
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