Exploring Machine Learning Needs Mathematical Optimization With Prof Simge Kucukyavuz
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- Machine Learning NeEDS Mathematical Optimization
- Abstract: The fields of
- Abstract: Given a problem (P) and a parametrised algorithm A for solving instances of (P), the Algorithm Configuration Problem ...
- Machine Learning NeEDS Mathematical Optimization
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Abstract: Bayesian Networks (BNs) represent conditional probability relations among a set of random variables (nodes) in the form ... Abstract. This work develops a class of relaxations in between the big-M and convex hull formulations of disjunctions, drawing ... Abstract: The talk focuses on block coordinate decomposition methods when optimizating a finite sum of functions. Specifically, we ... Speaker1: Marcela Galvis Restrepo, Copenhagen Business School, Denmark. Improving the interpretability and fairness of ...
Speaker1: 16:30 Kseniia Kurishchenko Copenhagen Business School (Denmark) "Clustering and Interpreting via
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