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cs.LG2020
Learning Choice Functions via Pareto-Embeddings
Karlson Pfannschmidt, Eyke Hüllermeier
We consider the problem of learning to choose from a given set of objects, where each object is represented by a feature vector. Traditional approaches in choice modelling are main…
cs.LG2019★ 5 cited
Learning Context-Dependent Choice Functions
Karlson Pfannschmidt, Pritha Gupta, Björn Haddenhorst +1
Choice functions accept a set of alternatives as input and produce a preferred subset of these alternatives as output. We study the problem of learning such functions under conditi…